ajy25 Goto Github PK

Hi! I'm Andrew, a junior at Brown University studying applied math and computer science. My research interests fall within the realms of statistics, machine learning, and computational biology—I am passionate about leveraging data to improve medicine and healthcare.

Currently...

• I am an intern at Regeneron. I develop machine learning models to predict patient outcomes for AI-powered clinical trials.
• I am a student researcher for the Department of Biostatistics at Brown University. I am researching machine learning algorithms for a variety of inference tasks for spatial transcriptomics data.

Previously...

• I was a student researcher at the NSF-Simons Center for Quantitative Biology. I investigated image segmentation and conformal mapping techniques for the rapid analysis of C. elegans images.
• I was a quantitative biology NSF REU research fellow at Northwestern University where I worked on differential expression analysis of transposons in C. elegans.

Additionally...

• I am actively involved in teaching at Brown University:
  • TA, Machine Learning - Spring 2024
  • TA, Statistical Inference - Spring 2024
  • TA, Computational Probability & Statistics - Fall 2023
  • Tutor, Statistical Inference - Spring 2023, Fall 2022

I'd love to get in touch! My email is [email protected]. Learn more about me here: ajy25.github.io.