TDP-43 may be one of the most dangerous proteins in the human body, implicated in neurodegenerative conditions like ALS and Alzheimer’s disease. But the protein remains mysterious: how TDP-43 interacts with the immune system, for instance, is still unclear.
Now, Ning Jenny Jiang, J. Peter and Geri Skirkanich Associate Professor of Innovation in Bioengineering, has been selected for the Collaborative Pairs Pilot Project Awards, sponsored by the Chan Zuckerberg Initiative (CZI), to investigate the relationship between TDP-43 and the immune system.
Launched in 2018, the Collaborative Pairs Pilot Project Awards support pairs of investigators to explore “innovative, interdisciplinary approaches to address critical challenges in the fields of neurodegenerative disease and fundamental neuroscience.” Professor Jiang will partner with Pietro Fratta, MRC Senior Clinical Fellow and MNDA Lady Edith Wolfson Fellow at the University College London Queen Square Institute of Neurology.
The TDP-43 protein is associated with neurodegenerative diseases affecting the central nervous system, including ALS and Alzehimer’s disease. While the loss of neurons and muscle degeneration cause the progressive symptoms, the diseases themselves may be a previously unidentified trigger for abnormal immune system activity.
One possible link is the intracellular mislocalization of TDP-43 (known as TDP-43 proteinopathy), when the protein winds up in the wrong location, which the Jiang and Fratta Labs will investigate. Successfully proving this link could result in potentially game-changing new therapies for these neurodegenerative diseases.
The Jiang Lab at Penn Engineering specializes in systems immunology, using high-throughput sequencing and single-cell and quantitative analysis to understand how the immune system develops and ages, as well as the molecular signatures of immune related diseases. Jiang joined Penn Bioengineering in 2021.
Since arriving on campus, Jiang has teamed with the recently formed Penn Anti-Cancer Engineering Center (PACE), which seeks to understand the forces that determine how cancer grows and spreads, and Engineers in the Center for Precision Engineering (CPE4H), which focuses on innovations in diagnostics and delivery in the development of customizable biomaterials and implantable devices for individualized care.
Jiang was elected a member of the American Institute for Medical and Biological Engineering (AIMBE) College of Fellows in 2021, and has previously won multiple prestigious awards including the NSF CAREER, a Cancer Research Institute Lloyd J. Old STAR Award, and a CZI Neurodegeneration Challenge Network Ben Barres Early Career Acceleration Award.
Jiang is a leader in high-throughput and high-dimensional analysis of T cells, a type of white blood cell crucial to the functioning of a healthy immune system. A recent study in Nature Immunology described the Jiang Lab’s TetTCR-SeqHD technology, the first approach to provide a multifaceted analysis of antigen-specific T cells in a high-throughput manner.
The CZI Collaborative Pairs Pilot Project Awards will provide $200,000 of funding over 18 months with a chance to advance to the second phase of $3.2 million in funding over a four-year period.
Read the full list of grantees on the CZI’s Neurodegeneration Challenge Network (NDCN) Projects website here.
(From left to right) Breakthrough Prize recipients Drew Weissman, Virginia M-Y Lee, Katalin Karikó, and Carl June at a reception on Feb. 13. (Image: Courtesy of Penn Medicine News)
In popular culture, scientific discovery is often portrayed in “Eureka!” moments of sudden realization: a lightbulb moment, coming sometimes by accident. But in real life—and in Penn Medicine’s rich history as a scientific innovator for more than 250 years—scientific breakthroughs can never truly be distilled down to a single, “ah-ha” moment. They’re the result of years of hard work, perseverance, and determination to keep going, despite repeated, often discouraging, barriers and setbacks.
“Research is [like taking], four, or six, or eight steps back, and then a little stumble forward,” said Drew Weissman, MD, PhD, the Roberts Family Professor of Vaccine Research. “You keep doing that over and over and somehow, rarely, you can get to the top of the step.”
For Weissman and his research partner, Katalin Karikó, PhD, an adjunct professor of Neurosurgery, that persistence—documented in thousands of news stories across the globe—led to the mRNA technology that enabled two lifesaving COVID-19 vaccines, earning the duo numerous accolades, including the highest scientific honor, the 2023 Nobel Prize in Medicine.
Weissman and Karikó were also the 2022 recipients of the Breakthrough Prize in Life Sciences, the world’s largest science awards, popularly known as the “Oscars of Science.” Founded in 2012 by a group of web and tech luminaries including Google co-founder Sergey Brin and Meta CEO Mark Zuckerberg, the Breakthrough Prizes recognize “the world’s top scientists working in the fundamental sciences—the disciplines that ask the biggest questions and find the deepest explanations.” With six total winners, including four from the Perelman School of Medicine (PSOM), Penn stands alongside Harvard and MIT as the institutions whose researchers have been honored with the most Breakthrough Prizes.
Virginia M.–Y. Lee, PhD, the John H. Ware 3rd Professor in Alzheimer’s Research, was awarded the Prize in 2020 for discovering how different forms of misfolded proteins can move from cell to cell and lead to neurodegenerative disease progression. Carl June, MD, the Richard W. Vague Professor in Immunotherapy, is the most recent recipient and will be recognized at a star-studded red-carpet event in April for pioneering the development of CAR T cell therapy, which programs patients’ own immune cells to fight their cancer.
The four PSOM Breakthrough Prize recipients were honored on Tuesday, Feb. 13, 2024, when a new large-scale installation was unveiled in the lobby of the Biomedical Research Building to celebrate each laurate and their life-changing discoveries. During a light-hearted panel discussion, the honorees shared how a clear purpose, dogged determination, and a good sense of humor enabled their momentum forward.
Weissman presented the Department of Bioengineering’s 2022 Herman P. Schwan Distinguished Lecture: “Nucleoside-modified mRNA-LNP therapeutics.” Read more stories featuring Weissman in the BE Blog here.
The bright white spots represent tiny clusters of proteins detected by CluMPS. (Photo by: Thomas Mumford)
Penn Engineers have pioneered a new way to visualize the smallest protein clusters, skirting the physical limitations of light-powered microscopes and opening new avenues for detecting the proteins implicated in diseases like Alzheimer’s and testing new treatments.
In a paper in Cell Systems, Lukasz Bugaj, Assistant Professor in Bioengineering, describes the creation of CluMPS, or Clusters Magnified by Phase Separation, a molecular tool that activates by forming conspicuous blobs in the presence of target protein clusters as small as just a few nanometers. In essence, CluMPS functions like an on/off switch that responds to the presence of clusters of the protein it is programmed to detect.
Normally, says Bugaj, detecting such clusters requires laborious techniques. “With CluMPS, you don’t need anything beyond the standard lab microscope.” The tool fuses with the target protein to form condensates orders of magnitude larger than the protein clusters themselves that resemble the colorful blobs in a lava lamp. “We think the simplicity of the approach is one of its main benefits,” says Bugaj. “You don’t need specialized skills or equipment to quickly see whether there are small clusters in your cells.”
From left: Emily Han, Rohan Palanki, Jacqueline Li, Michael Mitchell, Dongyoon Kim, and Marshall Padilla of Penn Engineering.
Imagine the brain as an air traffic control tower, overseeing the crucial and complex operations of the body’s ‘airport.’ This tower, essential for coordinating the ceaseless flow of neurological signals, is guarded by a formidable layer that functions like the airport’s security team, diligently screening everything and everyone, ensuring no unwanted intruders disrupt the vital workings inside.
However, this security, while vital, comes with a significant drawback: sometimes, a ‘mechanic’—in the form of critical medication needed for treating neurological disorders—is needed inside the control tower to fix arising issues. But if the security is too stringent, denying even these essential agents entry, the very operations they’re meant to protect could be jeopardized.
Now, researchers led by Michael Mitchell of the University of Pennsylvania are broaching this long-standing boundary in biology, known as the blood-brain barrier, by developing a method akin to providing this mechanic with a special keycard to bypass security. Their findings, published in the journal Nano Letters, present a model that uses lipid nanoparticles (LNPs) to deliver mRNA, offering new hope for treating conditions like Alzheimer’s disease and seizures—not unlike fixing the control tower’s glitches without compromising its security.
“Our model performed better at crossing the blood-brain barrier than others and helped us identify organ-specific particles that we later validated in future models,” says Mitchell, associate professor of bioengineering at Penn’s School of Engineering and Applied Science, and senior author on the study. “It’s an exciting proof of concept that will no doubt inform novel approaches to treating conditions like traumatic brain injury, stroke, and Alzheimer’s.”
The Solomon R. Pollack Award for Excellence in Graduate Bioengineering Research is given annually to the most deserving Bioengineering graduate students who have successfully completed research that is original and recognized as being at the forefront of their field. This year, the Department of Bioengineering at the University of Pennsylvania recognizes the stellar work of four graduate students in Bioengineering.
Margaret Billingsley
Dissertation: “Ionizable Lipid Nanoparticles for mRNA CAR T Cell Engineering”
Maggie Billingsley
Margaret earned a bachelor’s degree in Biomedical Engineering from the University of Delaware where she conducted research in the Day Lab on the use of antibody-coated gold nanoparticles for the detection of circulating tumor cells. She conducted doctoral research in the lab of Michael J. Mitchell, J. and Peter Skirkanich Assistant Professor in Bioengineering. After defending her thesis at Penn in 2022, Margaret began postdoctoral training at the Massachusetts Institute of Technology (MIT) in the Hammond Lab where she is investigating the design and application of polymeric nanoparticles for combination therapies in ovarian cancer. She plans to use these experiences to continue a research career focused on drug delivery systems.
“Maggie was an absolutely prolific Ph.D. student in my lab, who pioneered the development of new mRNA lipid nanoparticle technology to engineer the immune system to target and kill tumor cells,” says Mitchell. “Maggie is incredibly well deserving of this honor, and I am so excited to see what she accomplishes next as a Postdoctoral Fellow at MIT and ultimately as a professor running her own independent laboratory at a top academic institution.”
Victoria Muir
Dissertation: “Designing Hyaluronic Acid Granular Hydrogels for Biomaterials Applications”
Victoria Muir
Victoria is currently a Princeton University Presidential Postdoctoral Research Fellow in the lab of Sujit S. Datta, where she studies microbial community behavior in 3D environments. She obtained her Ph.D. in 2022 as an NSF Graduate Research Fellow at Penn Bioengineering under the advisement of Jason A. Burdick, Adjunct Professor in Bioengineering at Penn and Bowman Endowed Professor in Chemical and Biological Engineering at the University of Colorado, Boulder. She received a B.ChE. in Chemical Engineering from the University of Delaware in 2018 as a Eugene DuPont Scholar. Outside of research, Victoria is highly active in volunteer and leadership roles within the American Institute of Chemical Engineers (AIChE), currently serving as Past Chair of the Young Professionals Community and a member of the Career and Education Operating Council (CEOC). Victoria’s career aspiration is to become a professor of chemical engineering and to lead a research program at the interaction of biomaterials, soft matter, and microbiology.
“Victoria was a fantastic Ph.D. student,” says Burdick. “She worked on important projects related to granular materials from the fundamentals to applications in tissue repair. She was also a leader in outreach activities, a great mentor to numerous undergraduates, and is already interviewing towards an independent academic position.”
Sadhana Ravikumar
Dissertation: “Characterizing Medial Temporal Lobe Neurodegeneration Due to Tau Pathology in Alzheimer’s Disease Using Postmortem Imaging”
Sadhana Ravikumar
Sadhana completed her B.S. in Electrical Engineering at the University of Cape Town, South Africa in 2014 and her M.S. in Biomedical Engineering from Carnegie Mellon University in 2017. Outside of the lab, she enjoys spending time in nature and exploring restaurants in Philadelphia with friends. She focused her doctoral work on the development of computational image analysis techniques applied to ex vivo human brain imaging data in the Penn Image Computing and Science Laboratory of Paul Yushkevich, Professor of Radiology at the Perelman School of Medicine and member of the Penn Bioengineering Graduate Group. She hopes to continue working at the intersection of machine learning and biomedical imaging to advance personalized healthcare and drug development.
“Dr. Sadhana Ravikumar’s Ph.D. work is a tour de force that combines novel methodological contributions crafted to address the challenge of anatomical variability in ultra-high resolution ex vivo human brain MRI with new clinical knowledge on the contributions of molecular pathology to neurodegeneration in Alzheimer’s disease,” says Yushkevich. “I am thrilled that this excellent contribution, as well as Sadhana’s professionalism and commitment to mentorship, have been recognized through the Sol Pollack award.”
Hannah Zlotnick
Dissertation: “Remote Force Guided Assembly of Complex Orthopaedic Tissues”
Hannah Zlotnick
Hannah was a Ph.D. candidate in the lab of Robert Mauck, Mary Black Ralston Professor in Orthopaedic Surgery and in Bioengineering. She successfully defended her thesis and graduated in August 2022. During her Ph.D., Hannah advanced the state-of-the-art in articular cartilage repair by harnessing remote fields, such as magnetism and gravity. Using these non-invasive forces, she was able to control cell positioning within engineered tissues, similar to the cell patterns within native cartilage, and enhance the integration between cartilage and bone. Her work could be used in many tissue engineering applications to recreate complex tissues and tissue interfaces. Hannah earned a B.S. in Biological Engineering from the Massachusetts Institute of Technology (MIT) in 2017 during which time she was also a member of the women’s varsity soccer team. At Penn, Hannah was also involved in the Graduate Association of Bioengineers (GABE) intramurals & leadership, and helped jumpstart the McKay DEI committee. Since completing her Ph.D., Hannah has begun her postdoctoral research as a Schmidt Science Fellow in Jason Burdick’s lab at the University of Colorado Boulder where she looks to improve in vitro disease models for osteoarthritis.
“Hannah was an outstanding graduate student, embodying all that is amazing about Penn BE – smart, driven, inventive and outstanding in every way,” says Mauck. “ I can’t wait to see where she goes and what she accomplishes!”
Congratulations to our four amazing 2023 Sol Pollack Award winners!
Danielle Bassett, J. Peter Skirkanich Professor in the departments of Bioengineering and Electrical and Systems Engineering, has been called the “doyenne of network neuroscience.” The burgeoning field applies insights from the field of network science, which studies how the structure of networks relate to their performance, to the billions of neuronal connections that make up the brain.
Much of Basset’s research draws on mathematical and engineering principles to better understand how mental traits arise, but also applies them more broadly to other challenges in neuroscience.
The researchers used machine learning techniques to create a new classification system for neurodegenerative diseases, one which may redraw the boundaries between them and help explain clinical differences in patients who received the same diagnoses.
BioWorld’s Anette Breindl spoke with Bassett about the team’s findings.
Now, investigators have developed a new approach to classifying neurodegenerative disorders that used the overall patterns of protein aggregation, rather than specific proteins, to define six clusters of patients that crossed traditional diagnostic categories.
“We find that perhaps the way that clinicians have been diagnosing these disorders… is not necessarily the way these disorders work,” Danielle Bassett told BioWorld. “The way we’ve been trying to carve nature at joints is not the way that nature has joints. The joints are elsewhere.”
Continue reading Breindl’s article, “For neurodegeneration, a different way to slice the pie,” at BioWorld.
Innovations in Vascularization Could Lead to a New Future in Bioprinting
We may be one step closer to 3D-printing organs for transplants thanks to innovations in vascularization from researchers at Rice University and Washington University. Jordan Miller, Ph.D., a Penn Bioengineering alumnus, now an assistant professor of bioengineering at Rice, worked with his colleague Kelly Stevens, Ph.D., an assistant professor of the bioengineering department at Washington, to develop 3D-printed networks that mimicked the vascularized pathways for the transport of blood, lymph, and other fluids in the body. Their work appeared on a recent cover of Science, featuring a visual representation of the 3D-printed vessels in vasculature meant to mirror that of the human lung.
Relying heavily on open source 3D-printing, Miller and Stevens, along with collaborators from a handful of other institutions and start-ups, found ways to model dynamic vasculature systems similar to heart valves, airways systems, and bile ducts to keep 3D-printed tissue viable. The video below demonstrates the way the team successfully modeled vasculature in a small portion of the lung by designing a net-like structure around a sack of air. But Miller, a long-time supporter of open source printing and bioprinting, hopes that this is merely one step closer to what he sees as the ultimate goal of allowing for all organs to be bioprinted. Having that sort of power would reduce the complex issues that come with organ transplants, from organ availability to compatibility, and bring an end to a health issue that affects the over 100,000 people on the organ transplant waiting list.
A Combination of Protein Synthesis and Spectrometry Improve Cell Engineering
One goal of modern medicine is to create individualized therapeutics by figuring out a way to control cell function to perform specific tasks for the body without disrupting normal cell function. Balancing these two goals often proves to be one of the greatest difficulties of this endeavor in the lab, but researchers at Northwestern University found a way to combine the two functions at once in methods they’re calling cell-free protein synthesis and self-assembled monolayer desorption ionization (SAMDI) mass spectrometry. This innovation in the combination of the two methods accelerates the trial and error process that comes with engineering cells for a specific need, allowing researchers to cover a lot more ground in determining what works best in a smaller amount of time.
Leading the study are Milan Mrksich, Ph.D., a Henry Wade Rogers Professor of Biomedical Engineering at Northwestern, and Michael Jewett, Ph.D., a Charles Deering McCormick Professor of Teaching Excellence and co-director of the Center for Synthetic Biology at Northwestern. Together, they hope to continue to take advantage of the factory-like qualities of cell operations in order to use cells from any organisms to our advantage as needed. By helping to reduce the amount of time spent on trial and error, this study brings us one step closer to a world of efficient and individualized medicine.
Non-Invasive Sensory Stimulation as New Way of Treating Alzheimer’s
What if we could reduce the effects of Alzheimer’s disease with a non-invasive therapy comprised of only sensory inputs of light and sound? A recent study between Georgia Tech and MIT tries to make that possible. Alzheimer’s patients often have a larger than normal number of amyloid plaques in their brains, which is a naturally occurring protein that in excess can disrupt neurological function. The treatment — designed in part by Abigail Paulson, a graduate student in the lab of Annabelle Singer, Ph.D., assistant professor of Biomedical Engineering at Georgia Tech and Emory University — uses a combination of light and sound to induce gamma oscillations in brain waves of mice with high amounts of these amyloid plaques. Another lead author of the study is Anthony Martorell, a graduate student in the Tsai Lab at MIT, where Singer was a postdoctoral researcher.
This new approach is different from other non-invasive brain therapies for memory improvement, as tests demonstrated that it had the power to not only reach the visual cortex, but that it also had an effect on the memory centers in the hippocampus. An innovation like this could bring about a more widespread form of treatment for Alzheimer’s patients, as the lack of a need for surgery makes it far more accessible. Singer hopes to continue the project in the future by looking at how these sensory stimulations affect the brain throughout a variety of processes, and more importantly, if the therapy can be successfully applied to human patients.
NIH Grant Awarded to Marquette Biomedical Engineering Professor for Metal Artifact Reduction Techniques in CT Scans
Taly Gilat-Shmidt, Ph.D., an associate professor of biomedical engineering at Marquette University, recently received a $1.4 million grant from the National Institute of Health to improve methods for radiation treatment through metal artifact reduction techniques. When patients have some sort of metal that can’t be removed, such as an orthopaedic implant like a hip or knee replacement, it can interfere with the imaging process for CT scans and lead to inaccuracies by obscuring some tissue in the final images. These inaccuracies can lead to difficulty in devising treatment plans for patients who require radiation, as CT scans are often used to assess patients and determine which line of treatment is most appropriate. Gilat-Schmidt hopes to use the grant to implement tested algorithms to help reduce this variability in imaging that comes from metal implants.
People and Places
Activities for Community Education in Science (ACES), founded by Penn chemistry graduate students in 2014, aims to inspire interest and provide a positive outlook in STEM for kids and their families. The biannual event provides students grades 3–8 with an afternoon of demonstrations, experiments, and hands-on activities focused on physics and chemistry.
After an explosive opening demonstration, more than 70 students made their way between experiments in small groups, each participating in different experiments based on their age.
The Society of Women Engineers (SWE) is a non-profit organization serving as one of the world’s largest advocates for women in engineering and technology over the past six decades. With a mission to empower women to become the next leading engineers of the world, SWE is just one of many agents hoping to bring more diversity to the field. Our chapter of SWE at Penn focuses particularly on professional development, local educational outreach, and social activities across all general body members. In a new article from SWE Magazine, the organization collected social media responses from the public on the women engineers we should all know. With a diverse list of engineers from both the past and present, the article helps bring to light just how much even a handful of women contributed to the field of engineering already.
Neurofibrillary tangles in the hippocampus of a patient with Alzheimer’s disease.
The dramatic increase in life expectancy over the past couple of generations has one unfavorable consequence: an increase in the incidence of age-related dementias that include Alzheimer’s disease. Drugs like donepezil, which inhibits hydrolization of acetylcholine and thus increases its presence at the neural synapses, is one treatment that can slow the progression of these diseases, but there is currently no cure.
An alternative technology that directly stimulates the brain with an implantable chip holds promise to reverse the effects of Alzheimer’s. At the annual meeting of the Society for Neuroscience, held last month in Washington, D.C., Dong Song, Ph.D., Research Associate Professor of Biomedical Engineering at USC’s Viterbi School of Engineering, gave a lecture on his lab’s device, which uses an array of implantable electrodes to improve human memory.
Dr. Song tested his device in epilepsy patients, who often receive implants designed to control their seizures in intractable cases. Twenty such patients volunteered to receive Dr. Song’s implant, and data from these patients showed that short-term memory increased by 15% and working memory by 25%. While additional testing is needed on more patients, it might not be long before implants like Dr. Song’s become the standard of care in treatment dementias.
Genetic Variation in the Human Microbiome
The human body is host to a veritable universe of microbes that play important roles in the organ systems and other bodily processes. E. coli, for example, is present in the large intestine and it participates in the breaking down of food for energy. Like all other forms of life, these microbes evolve. creating variations in genetic information and, ultimately, new bacteria species. Within any given species of bacteria, the number of differences in the genome sequences can vary broadly; with E. coli, some areas of the genome can vary radically between strains and cannot be explained by DNA copying errors.
To determine why the genome of E. coli subject to such variation, scientists at the University of Illinois, Urbana-Champaign (UIUC), led by Sergei Maslov, Ph.D., professor of bioengineering and physics at UIUC, investigated the issue by developing computational models using Multi Locus Sequence Typing (MLST). In their findings, published in Genetics, they concluded that the variation can be ascribed to the process of recombination, by which different sequences from different sources are combined into the same chromosome. When such events are frequent, they result in a sort of genetic stability in which variation in genetic information increases without speciation.
The study provides an important contribution to basic science in helping to better explain how different strains of bacteria develop, including virulent and drug-resistant strains. In addition, it sheds further light on the mechanisms underlying evolution.
A Step Closer to Water-efficient Agriculture
Drought and famine are closely related phenomena. Some plants are more resistant to drought than others, but few of these plants are fit for human consumption. Determining how plants resist drought could provide a key to engineering crops to become drought-resistant.
Investigating this topic, scientists at the Oak Ridge National Laboratory of the U.S. Department of Energy sought to understand better the process of crassulacean acid metabolism (CAM), by which drought-resistant plants keep their stomata, or pores, closed during sunlight hours to retain water and open them at night. The team reports in Nature Communications that they compared the genomes of three drought-resistant plants — orchid, pineapple, and Kalanchoë fedtschenkoi, a species of plant native to Madagascar. Among the authors’ discoveries was a variation in a gene encoding phosphoenolpyruvate carboxylase, an enzyme that plays a role in CAM.
With this increased knowledge of the evolutionary development of drought resistance, we come a step closer to being able to expedite the evolution of plants that are typically not resistant to drought to developing the CAM mechanism and developing this resistance.
Computer Model Can Mimic Heart Attack
Heart disease remains the leading cause of death in developed countries. A major obstacle in reducing the deaths due to cardiac arrest is the inability to determine the precise mechanics unfolding in the heart when it stops suddenly. Abnormal heart rhythms (arrythmias) are a major cause of death, but the reasons how arrhythmias occur at the cellular level is poorly understood.
In a recent study published in PLOS Computational Biology, Raimond L. Winslow, Ph.D. who is Raj and Neera Singh Professor in the Department of Biomedical Engineering at Johns Hopkins University, and his colleagues developed a computer model of calcium dynamics in cardiac cells. The model predicted a new mechanism for arrythmia that would occur when cardiac cells expelled calcium, creating an electrical charge outside the cell that could evoke an arrhythmia.
The authors believe that their research will facilitate the development of drugs to prevent cardiac arrhythmias and treatments for sudden cardiac arrest. In addition, the work shows that it could be easier to predict the statistical relationship between arrhythmias and cardiac arrest on the basis of far less data.
People and Places
Stevens Institute of Technology in Hoboken, N.J., has announced plans to divide its Department of Biomedical Engineering, Chemistry and Biological Sciences (BCB) into two new departments: the Department of Biomedical Engineering and the Department of Chemistry and Chemical Biology. Hongjun Wang, Ph.D., associate professor in the BCB department, will be the new chair of BME. Congratulations Hongjun!
