Arjun Raj Explores Whether Cells Can Learn in 2024 Heilmeier Lecture

Arjun Raj (center) accepts the Heilmeier Award, with Bioengineering Department Chair Ravi Radhakrishnan (left) and Dean Vijay Kumar (right).

Arjun Raj, Professor in Bioengineering at Penn Engineering and in Genetics at the Perelman School of Medicine, has been honored with the 2023-24 George H. Heilmeier Faculty Award for Excellence for “pioneering the development and application of single-cell, cancer-fighting technologies.”

The George H. Heilmeier Faculty Award for Excellence in Research was “established by Penn Engineering for the purpose of recognizing excellence in scholarly activities of the faculty. Named in honor of George H. Heilmeier, it recognizes his extraordinary research career, his leadership in technical innovation and public service, and his loyal and steadfast support of Penn Engineering.”

Dr. Raj delivered his lecture, entitled “Can a Cell Learn?” on April 8, 2024. In this talk, Raj explores whether it is possible for cells to adapt to their environment by learning, thereby overcoming their genetic destiny.

Learn more about, this award, Dr. Raj and his research here. View the lecture recording below.

The Raj Lab for Systems Biology is interested in building a quantitative understanding of cellular function. They develop new tools for quantifying biological processes based on imaging and sequencing and then use those techniques to help us answer questions in molecular and cellular biology. Read more stories featuring Raj in the BE Blog.

2023 Department of Bioengineering Juneteenth Address: “A White Neighbor, a Black Surgeon, and a Mormon Computer Scientist Walk into a Bar…” (Kevin B. Johnson)

Kevin B. Johnson, MD, MS

We hope you will join us for the 2023 Department of Bioengineering Juneteenth Address by Dr. Kevin B. Johnson.

Date: Wednesday, June 14, 2023
Start Time: 11:00 AM ET
Location: Berger Auditorium (Skirkanich Hall basement room 013)

Zoom link
Meeting ID: 925 0325 6013
Passcode: 801060

Following the event, a limited number of box lunches will be available for in-person attendees. If you would like a box lunch, please RSVP here by Monday, June 12 so we can get an accurate headcount.

Speaker: Kevin B. Johnson, MD, MS, FAAP, FAMIA, FACMI
David L. Cohen University Professor
Annenberg School for Communication, Bioengineering, Biostatistics, Epidemiology and Informatics, Computer and Information Science, Pediatrics
VP for Applied Informatics (UPHS), University of Pennsylvania

Title: “A White Neighbor, a Black Surgeon, and a Mormon Computer Scientist Walk into a Bar…”

Abstract: As we recognize Juneteenth, a holiday that brings awareness to what journalist Corey Mitchell calls “…a complex understanding of the nation’s past”, we also need to understand how many of our neighbors, staff, and faculty—even those born in the last 100 years—continue to navigate through the environment that made Juneteenth remarkable. Dr. Johnson will share a bit of his personal story and how this story informs his national service and passion for teaching.

Bio: Dr. Johnson is a leader of medical information technologies to improve patient care and safety. He is well regarded and widely known for pioneering discoveries in clinical informatics, leading to advances in data acquisition, medication management, and information aggregation in medical settings.

He is a board-certified pediatrician who has aligned the powers of medicine, engineering and technology to improve the health of individuals and communities. In work that bridges biomedical informatics, bioengineering and computer science, he has championed the development and implementation of clinical information systems and artificial intelligence to drive medical research. He has encouraged the effective use of technology at the bedside, and he has empowered patients to use new tools that help them to understand how medications and supplements may affect their health. He is interested in using advanced technologies such as smart devices and in developing computer-based documentation systems for the point of care. He also is an emerging champion of the use of digital media to enhance science communication, with a successful feature-length documentary describing health information exchange, a podcast (Informatics in the Round) and most recently, a children’s book series aimed at STEM education featuring scientists underrepresented in healthcare.

Dr. Johnson holds joint appointments in the Department of Computer and Information Science of the School of Engineering and Applied Science, and secondary appointments in Bioengineering and the Annenberg School for Communication. He serves as Vice President for Applied Informatics in the University of Pennsylvania Health System and as a Professor of Pediatrics at the Children’s Hospital of Philadelphia.

Before arriving at Penn, he served as the Cornelius Vanderbilt Professor and Chair of the Department of Biomedical Informatics at the Vanderbilt University School of Medicine, where he had taught since 2002. As Senior Vice President for Health Information Technology at the Vanderbilt University Medical Center, he led the development of clinical systems that enabled doctors to make better treatment and care decisions for individual patients, and introduced new systems to integrate artificial intelligence into patient care workflows.

The author of more than 150 publications, Dr. Johnson has held numerous leadership positions in the American Medical Informatics Association and the American Academy of Pediatrics. He leads the American Board of Pediatrics Informatics Advisory Committee, directs the Board of Scientific Counselors of the National Library of Medicine, and is a member of the NIH Council of Councils. He is an elected member of the National Academy of Medicine, American College of Medical Informatics and Academic Pediatric Society. He has received awards from the Robert Wood Johnson Foundation and American Academy of Pediatrics, among many others.

Daeyeon Lee: Evan C Thompson Lecture and American Chemical Society Award

 Daeyeon Lee, Professor and Evan C Thompson Term Chair for Excellence in Teaching in the Department of Chemical and Biomolecular Engineering and member of the Penn Bioengineering Graduate Group, is the recipient of two recent honors.

Surrounded by his supportive research team, fellow faculty, students, School of Engineering and Applied Science Dean Vijay Kumar, and Interim Provost Beth Winkelstein, Lee recently delivered the 2023 Evan C Thompson Chair Lecture about—fittingly enough—establishing a sense of community as we return from the isolating days of the pandemic.

Daeyeon Lee of the School of Engineering and Applied Science delivers the 2023 Thompson Chair Lecture on April 4, 2023. He spoke about reconnecting in the classroom and building community.

“Students who feel connected with instructors and among peers will invest more time, work harder, and retain information better, because they feel comfortable and safe being in the classroom and making space,” Lee said in his opening remarks. “So, there are clearly lots of positive benefits to having this connectedness among students in the classroom.”

Lee’s lecture, titled “(Re)connecting in the Classroom,” was inspired by the “Great Disengagement” referenced in an article published in The Chronicle of Higher Education last year. It portrayed students as more disconnected and uncertain as they re-entered the campus environment.

Read more about Lee’s “(Re)connecting in the Classroom” in Penn Today.

In addition, Lee has received the 2022 Outstanding Achievement Award in Nanoscience from the American Chemical Society (ACS).

The annual award recognizes exceptional achievements in nanoscience research and notable leadership in the area of colloidal nanoparticles and application. Lee was chosen from a large group of extraordinary nominees among the invited speakers, “for pioneering research in development of factory-on-a-chip and its application for large scale nanoparticle synthesis and functionalization.”

Read more about this award in Penn Engineering Today.

BE Seminar Series: September 20, 2018

The BE Seminar Series continues next week with three lectures delivered by our current PhD Students. We hope to see you there!

“Magnetic Susceptibility of Hemorrhagic Myocardial Infarction”

Brianna Moon, PhD Candidate

Speaker: Brianna Moon, PhD Candidate
Research Advisor: Walter Witschey, PhD

Date: Thursday, September 20, 2018
Time: 12:05pm-12:25pm
Location: Room 337 Towne Building

Abstract: 
Hemorrhagic myocardial infarction (MI) has been reported in 41% and 54% of ST-elevated MI patients after primary percutaneous coronary intervention. These patients are at high risk for adverse left ventricle (LV) remodeling, impaired LV function and increased risk of fatal arrhythmias.  Relaxation time MRI such as T2*-maps are sensitive to hemorrhagic infarct iron content, but are also affected by myocardial edema and fibrosis. Quantitative Susceptibility Mapping (QSM), which uses the MR signal phase to quantify tissue magnetic susceptibility, may be a more specific and sensitive marker of hemorrhagic MI. The objective of this study was to develop and validate cardiac QSM in a large animal model of myocardial infarction, investigate the association of magnetic susceptibility with iron content and infarct pathophysiology, and compare QSM to relaxation time mapping, susceptibility-weighted imaging (SWI), and late-gadolinium enhanced (LGE) MRI.

 

“Role of ACTG2 Mutations in Visceral Myopathy”

Sohaib Hashmi, MD/PhD Student

Speaker: Sohaib Hashmi, MD/PhD Student
Research Advisor: Robert O. Heuckeroth, MD, PhD

Date: Thursday, September 20, 2018
Time: 12:30-12:50pm
Location: Room 337 Towne Building

Abstract: 

Visceral myopathy is a debilitating chronic medical condition in which smooth muscle of the bowel, bladder, and uterus is weak or dysfunctional. When the bowel muscle is weak and unable to efficiently contract, the bowel becomes distended which causes pain, bilious vomiting, growth failure, and nutritional deficiencies. The abdominal distension can become life-threatening. Patients often become dependent on intravenous nutrition and undergo multiple rounds of abdominal surgery, which only partially alleviates symptoms. Recently, rare mutations in gamma smooth muscle actin (ACTG2) have been shown to be responsible for a large subset of visceral myopathies. ACTG2 is a critical protein in the smooth muscle contractile apparatus. However, we have only limited knowledge of how ACTG2 mutations may cause human disease. To improve our understanding of the pathophysiology of ACTG2 mutations, my work has the following specific aims:

1) Determine how pathogenic ACTG2 mutations affect actin structure and function in primary human intestinal smooth muscle cells (HISMCs).

2) Examine the effects of ACTG2 mutations on differentiation of human pluripotent stem cells into smooth muscle cells (SMCs).

These studies will allow us to elucidate the mechanisms through which ACTG2 mutations impair normal visceral smooth muscle development and function. I am examining the effects of ACTG2 mutations on actin filament organization in fixed cells and actin dynamics in live cells using fluorescent probes. I will investigate changes in contractile force generation using traction force microscopy. I am also developing a novel differentiation method to convert pluripotent stem cells into cells closely resembling visceral SMCs. We will use this method with CRISPR/Cas9 gene editing to study the effects of the mutations on SMC differentiation. We are currently generating pluripotent stem cell lines containing ACTG2 mutations and performing assays to investigate actin organization and dynamics. We are using these systems to identify robust phenotypes highlighting the mechanisms through which ACTG2 mutations cause disease. We hope to leverage this information in the selection of targets for high-throughput drug screening, which may eventually lead to novel treatment strategies for visceral myopathies.

 

“Distinct Patterns of Longitudinal Cortical Thinking and Perfusion in Pathological Subtypes of Behavioral Variant Frontotemporal Degeneration”

Christopher Olm, PhD Student

Speaker: Christopher Olm, PhD Student
Research Advisor: Murray Grossman, MD, EdD

Date: Thursday, September 20, 2018
Time: 12:55-1:15pm
Location: Room 337 Towne Building

Abstract: 
Two main sources of pathology have been identified in the behavioral variant of frontotemporal dementia (bvFTD): tau inclusions (FTLD-tau) and TDP-43 aggregates (FTLD-TDP). With therapies emerging that target these proteins, exploring distinct trajectories of degeneration can be extremely helpful for tracking progression in clinical trials and improve prognosis estimation. We hypothesized that longitudinal cortical thinning (CT) would identify areas of extant disease progression in bvFTD subgroups and longitudinal hypoperfusion would identify distinct regions of anticipated neurodegeneration. We included N=47 patients with probable or definite bvFTD and two MRI scanning sessions including T1-weighted and arterial spin labeling (ASL) scans, recruited through the Penn Frontotemporal Degeneration Center. Neuropathology, genetic mutations, or CSF protein markers (phosphorylated tau (p-tau)/Ab1-42<.09 for likely FTLD; p-tau<8.75 for FTLD-TDP) were used to identify bvFTD with likely FTLD-tau (n=28, mean age=63.1 years, mean disease duration=3.89 years) or likely FTLD-TDP (n=19, mean age=61.9, mean disease duration=3.06). Voxel-wise cortical thickness and cerebral blood flow estimates were generated for each T1 and ASL scan, respectively, using longitudinal pipelines in ANTs. We created annual change images by subtracting follow-up images from baseline and dividing by inter-scan interval. In whole brain voxel-wise comparisons, FTLD-tau showed significantly greater right orbitofrontal CT and longitudinal hypoperfusion in right middle temporal and angular cortex relative to FTLD-TDP. FTLD-TDP displayed greater progressive CT in left superior and middle frontal cortex, precentral gyrus, and right temporal cortex, and longitudinal hypoperfusion in medial prefrontal cortex relative to FTLD-tau. In conclusion, FTLD-tau and FTLD-TDP show distinct patterns of longitudinal CT and hypoperfusion. Structural and functional MRI contribute independent information potentially useful for characterizing disease progression in vivo for clinical trials.

BE Seminar Series starts tomorrow!

Rosalind Picard, ScD, FIEEE

Please join us for the first of our seminar lectures this year!

Rosalind Picard, ScD, FIEEE
Director of Affective Computing Research
Faculty Chair, MIT Mind+Hand+Heart
MIT Media Lab

“What Can We Discover About Emotions and the Brain from Noninvasive Measures?”

 

Date: Thursday, September 13, 2018
Time: 12:00PM-1:00 PM
Location: 337 Towne Building

Abstract:
Years ago, our team at MIT created wearable as well as non-contact imaging technology and machine learning algorithms to detect changes in human emotion.  As we shrunk the sensors and made them able to comfortably collect data 24/7, we started to discover several surprising findings, such as that autonomic activity measured through a sweat response was more specific than 100 years of studies had assumed.  While we originally thought this signal of “arousal” or “stress” was quite generally related to overall activation, we learned it could peak even when a patient’s EEG showed a lack of cortical brain activity. This talk will highlight some of the most surprising findings along the journey of measuring emotion “in the wild”with implications for anxiety, depression, sleep-memory consolidation, epilepsy, autism, pain studies, and more. What is the grand challenge we aim to solve next?

Bio:
Rosalind Picard, ScD, FIEEE, is founder and director of the Affective Computing Research Group at the MIT Media Laboratory, co-founder and Chief Scientist of Empatica, improving lives with clinical quality wearable sensors and analytics, and co-founder of Affectiva, providing tools for Emotion AI.  Picard is the author of over two hundred fifty peer-reviewed scientific articles and of the book, Affective Computing, which helped launch that field. Picard’s lab at MIT develops technologies to better measure, understand, forecast, and regulate emotion, including personalized machine-learning analytics that work with wearables and your smartphone.