All News
December 12, 2024
NVIDIA Wrote an Article on BELA
NVIDIA wrote an article on our recent Nature Communications paper on BELA!
November 25, 2024
Wrote an Article for Natural Selections
I wrote an article for the Rockefeller University’s magazine, Natural Selections, about the importance and concerns around foundation models in medicine.
November 13, 2024
Presented at AMIA Annual Symposium
I presented our work looking at using NLP to enhance trial emulation at the 2024 American Medical Informatics Association (AMIA) Annual Symposium.
October 21, 2024
Featured in Nature Communications Paper on BELA
We received significant publicity for our recent Nature Communications paper on BELA! Check out the press release and our presentations at the 2024 American Society for Reproductive Medicine (ASRM) conference and the 2024 Cornell Intercampus Symposium for Maternal Health.
September 05, 2024
Published Paper on BELA in Nature Communications
Our paper on BELA, a video classification model for IVF, was published in Nature Communications! Explore the details here.
August 02, 2024
Completed Internship at Regeneron
I finished my internship at Regeneron! Visit the post I made about it here.
July 14, 2024
Talk at ESHRE Conference on AI Models for Embryo Ploidy
I gave a talk at the 2024 European Society of Human Reproduction and Embryology conference about our research on developing foundational AI models for predicting embryo ploidy status using time-lapse images. Read the abstract here.
May 29, 2024
Undergraduate Lab Research Published in Nature Communications
The research I worked on in my undergraduate lab was published in Nature Communications! Check it out here.
May 15, 2024
Started Data Science Internship at Regeneron
I started an internship at Regeneron as a Data Science Intern in the Process Sciences department. I will be working on developing pipelines using Large Language Models and computer vision.
January 24, 2024
Published Review Paper on Cross-Cohort Cross-Category Learning (C4)
We published a review paper on Cross-Cohort Cross-Category Learning (C4) and its importance in the future of healthcare AI. Read it at Cell Patterns here.
December 11, 2023
Developed Genomics Curriculum for Middle and High Schools
Our team developed a curriculum for learning genomics for middle and high school students that the NIH plans to implement at select schools across the United States. See here for details.
November 02, 2023
Featured on STEM From Podcast
Check out the podcast episode where I discussed my research with Dr. Carina Minardi on STEM From.
October 25, 2023
Talk at Instituto de Salud Carlos III on C4 in Healthcare
I gave a talk at Instituto de Salud Carlos III in Dr. Biagio Mandracchia’s Introduction to Biomedical AI course, discussing the burgeoning field of Cross-Cohort Cross-Category Learning (C4) and its applications in healthcare.
September 19, 2023
3rd Place in NASA's Pushback to the Future Challenge
Our team placed 3rd in NASA’s Pushback to the Future Challenge! See the blog post about the winners and our approach here.
June 27, 2023
Talk at ESHRE 2023 on Predicting Embryo Ploidy Status
Gave a talk at the European Society of Human Reproduction and Embryology (ESHRE 2023) on ‘Predicting Embryo Ploidy Status Using Time-lapse Images’. Our abstract was published in Human Reproduction.
May 30, 2023
Published Study on Social Networks and Adverse Childhood Experiences
Our paper, ‘Web-Based Social Networks of Individuals With Adverse Childhood Experiences: Quantitative Study’, was published in the Journal of Medical Internet Research.
April 10, 2023
Quarterfinalists in ARPA-H Dash to Accelerate Health Outcomes
Our team were quarterfinalists in the Advanced Research Projects Agency for Health (ARPA-H) Dash to Accelerate Health Outcomes with our idea for a Bionic Pancreas system for diabetes monitoring.
March 21, 2023
Published Paper on Integrative Biomedical Knowledge Hub (iBKH)
Our paper, ‘Biomedical Discovery through the integrative Biomedical Knowledge Hub (iBKH)’, was published in iScience.
March 15, 2023
Published Study on Data Heterogeneity in Federated Learning
We published ‘Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care’ in PLOS Digital Health.
March 11, 2023
Finalist in UTSW Case Competition with Pterostilbene Proposal
Our team placed in the finals for the University of Texas Southwestern (UTSW) Case Competition, proposing the development of Pterostilbene as a synthetic compound.
February 15, 2023
Won HHS Giving=Living Blood & Plasma Innovation Challenge
Led a team that won the US Dept. of HHS Giving=Living Blood & Plasma Innovation Challenge. Our proposal, ‘Giving=Living’, aimed at promoting blood donations to address shortages.
February 04, 2023
Guest Lecture at Cornell Tech on Federated Learning
Gave a guest lecture for Cornell Tech’s INFO 5375: Health Tech Oriented Machine Learning on aspects of federated learning in the presence of data heterogeneity.
January 04, 2023
Published AI Models for Predicting Human Blastocyst Ploidy in Lancet Digital Health
Our paper, ‘Development of non-invasive artificial intelligence models for the prediction of human blastocyst ploidy’, was published in Lancet Digital Health.
November 05, 2022
Finalist at Penn Healthcare Case Competition with Bispecific Antibody Therapy Plan
Worked with a team of graduate students to create plans for marketing a bispecific antibody therapy for multiple myeloma. Placed as Finalists at the Penn Healthcare Case Competition.