Pankhuri Singhal

about

I recently completed my PhD at the University of Pennsylvania, advised by Dr. Marylyn Ritchie. My thesis research focused on leveraging electronic health records and genomic data for disease trajectory and risk modeling. I am interested in extracting meaningful medical knowledge from temporal EHR data in order to answer questions about disease progression, clinical event prediction, and inter-individual risk variability. The guiding question for much of my work is, "what comes next for the patient?" This is really an umbrella for understanding common disease paths, what types of events/conditions cause deviation from a path, and what predispositions may catapult an individual down one path versus another.

**I am currently looking for a postdoc to pursue research in the area of AI in medical imaging, a new space for me to explore how we can better diagnose patients and optimize reporting accuracy in their clinical care -- reach out if you are interested in chatting, collaborating, or just throwing around some cool ideas!**

news

03.15.24 Honored to be selected as an AMIA Lead Fund Trainee for this year! https://amia.org/about-amia/amia-awards/amia-leadership-and-education-awards-donation-lead-fund/amia-lead-fund-1 Come check out my AMIA talk on 3/20 on leveraging LLMs for identifying undiagnosed patients with rare genetic disease!

12.21.23 Happy to share our abstract "Leveraging GPT models to intuitively structure free-text clinical notes" has been selected for a podium talk at AMIA Informatics Summit in Boston (March 18, 2024) Hope to see you there!

12.10.23 Stoked to be attending my first NeurIPS this week! I have organized several Digital Health meet-ups this week (open to all) to discuss challenges developing digital health products/tools for academia and startups! Stay tuned on the Whova app for location and time.

9.7.223 I am excited to speak on a panel about LLMs and their utility in Medicine at our Institute for Biomedical Informatics retreat at Bear Creek (PA) today!

5.11.23 Sharing our disease trajectory modeling work at our poster at the SAIL (Symposium on Artificial Intelligence in Learning Health Systems) conference in Puerto Rico -- come say hi!

4.11.23 Defended my thesis today entitled Epistasis and Evolution of Disease Trajectories in Multi-dimensional Study of Genomic and Phenomic Interactions! I am so grateful to my mentors, family, and friends for their constant support and love over my grad school years. Cheers to a new chapter! If you'd like to learn about some of my graduate research, check out my defense here: https://upenn.app.box.com/s/m134kr45umw2rdpcbd6n7upu8ip36l4g

4.6.23 Our study identifying long-range epistasis models associated with complex human diseases (with replication!) is out in American Journal of Human Genetics! Go check it out! https://doi.org/10.1016/j.ajhg.2023.03.007

3.6.23 Excited to have received a travel award from the SAIL conference to present our work on clinical event prediction using EHR data in Puerto Rico this May! Drop by the poster session happening May 10th to learn more about our cardiovascular outcome models

2.8.23 Had a great opportunity to share our longitudinal data modeling work in Penn Medicine with the CHARGE consortium on their monthly webinar! Check out a video of my talk here if you are part of the consortium https://vimeo.com/797107855#t=32:36

1.3.23 Thrilled to share some of our ongoing work at the 2023 Pacific Symposium on Biocomputing in Hawaii at the High-Performance Computing Meets High-Performance Medicine Workshop! https://psb.stanford.edu/workshop/hpmed/

12.16.22 Happy to share that our paper "DETECT : Feature extraction method for disease trajectory modeling" has been accepted for a talk at the AMIA 2023 Informatics Summit being held in Seattle this upcoming March!

11.15.22 Ecstatic and humbled to share that our album "Shuruaat", produced by my beloved Berklee Indian Ensemble as a commemorative album from the last decade, was nominated for a Grammy this year in the "Best Global Music Album" category! Stream it everywhere! https://ffm.to/shuruaat

11.05.22 Excited to be at my very first AMIA conference! Connect with me via the app to find a time to chat! (Washington, DC)

10.27.22 Presenting our DETECT method work at American Society for Human Genetics conference, honored to receive a Reviewer's Choice award for our abstract! (Los Angeles, CA)

10.13.22 Grateful to CHARGE Consortium for a travel award to talk (quickly) about longitudinal data modeling at the Blitz session! (Seattle, WA)

10.7.22 Had a great time presenting our DETECT method abstract at the Mid Atlantic Bioinformatics Conference poster session at CHOP (Philadelphia, PA)

about me: the human

In my spare time, I breathe in as much fresh mountain air as possible. The forest behind my parent's home in upstate Massachusetts is the best place for some clear thinking and long walks (preferably with dogs). If I could be anywhere on the planet right now, it would be deep in the Caribbean Sea, exploring vibrant coral and friendly fish. Or on top of the Sea, surfing beginner baby waves. Some Friday nights you might find me painting abstract seascapes in oil in my tiny home studio furnished with twinkle lights or salsa dancing in downtown Philly. Making music - singing and writing songs - is one of my favorite ways to connect with other peoples' creative energy. Stargazing on warm summer nights with my family is my (not so secret) recipe for sheer happiness. My dream is to go out West for a few weeks every summer and dig for fossils, ask me about my Cambrian era trilobite collection!