News
News
- 10/21/2024: We got a lot of publicity for our recent Nature Communications paper on BELA! Check out the press release. We also got the opportunity to present our work at the 2024 American Society for Reproductive Medicine (ASRM) conference as well as the 2024 Cornell Intercampus Symposium for Maternal Health.
- 9/05/2024: Our paper on BELA, a video classification model for IVF, was published in Nature Communications! Check it out here.
- 8/02/2024: I finished my internship at Regeneron! Visit the post I made about it here.
- 7/14/2024: I gave a talk at the 2024 European Society of Human Reproduction and Embryology conference about our current research of developing foundational AI models for predicting embryo ploidy status using time-lapse images. Read the abstract here.
- 5/29/2024: The research I worked on in my undergraduate lab just got published in Nature Communications! Check it out here.
- 5/15/2024: 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.
- 1/24/2024: 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.
- 12/11/2023: Our team developed a curriculum for learning genomics for middle and high school students that the NIH plans on implementing at select schools across the United states, see here for details.
- 11/2/2023: Check out the podcast episode where I talked about my research with Dr. Carina Minardi on STEM From.
- 10/25/2023: I gave a talk at Instituto de Salud Carlos III in Dr. Biagio Mandracchia’s Introduction to Biomedical AI course. I talked about the burgeoning field of Cross-Cohort Cross-Category Learning (C4) and its applications in healthcare.
- 9/19/2023: Our team placed 3rd in NASA’s Pushback to the Future Challenge! See the blog post written about the winners and our approach here.
- 6/27/2023: Gave a talk at 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.
- 5/30/2023: Our paper, “Web-Based Social Networks of Individuals With Adverse Childhood Experiences: Quantitative Study”, was published in the Journal of Medical Internet Research.
- 4/10/2023: Our team were quarterfinalists in the Advanced Research Projects Agency for Health (ARPA-H) Dash to Accelerate Health Outcomes. Our idea was a Bionic Pancreas system for diabetes monitoring.
- 3/21/2023: Our paper, “Biomedical Discovery through the integrative Biomedical Knowledge Hub (iBKH)”, was published in iScience.
- 3/15/2023: 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.
- 3/11/2023: Our team placed in the finals for the University of Texas Southwestern (UTSW) Case Competition, proposing the development of Pterostilbene as a synthetic compound
- 2/15/2023: 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.
- 2/4/2023: 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
- 1/4/2023: Our paper, “Development of non-invasive artificial intelligence models for the prediction of human blastocyst ploidy”, was published in Lancet Digital Health.
- 11/5/2022: 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.
