Victor Robila

I worked on this research project while an intern with Dr. Frank Zijun Zhang at Princeton (now at Cedars-Sinai). I used various bioinformatics machine learning models on real and simulated data to determine which could best support non-technical bioinformatics researchers on a variety of criteria included ease of use, time complexity, and performance. I presented this work at the 2023 Consortium for Computing Sciences in Colleges Northeastern Conference. See the citation and some images from the event below

Robila, V. (2023). Benchmarking Machine Learning Methods on Simulated Bioinformatics Data. Poster, 27th Consortium for Computing Sciences in Colleges Northeastern (CCSCNE) Conference, Ithaca, NY