Research

Currently working on machine learning models for genotype to phenotype prediction.
Check out my GitHub here.
Check out my Google Scholar here.

Data visualization to the archetypal analysis package

Added plotting and visualization functionality features to the archetypal analysis package that estimates genetic clusters by using genomic data in an unsupervised, computationally efficient manner.

Optimizing transformations on GAN face reconstruction based on fMRI data

Implementation of more complicated transformations from a recent 2022 paper that used fMRI data to reconstruct GAN generated faces that were shown to subjects.

Full code and report here

Publications

Age-differentiated incentives for adaptive behavior during epidemics produce oscillatory and chaotic dynamics
RF Arthur, M Levin, A Labrogere, MW Feldman - PLOS Computational Biology, 19 (9), e1011217, 2023

Machine Learning Strategies for Improved Phenotype Prediction in Underrepresented Populations
D Bonet, M Levin, DM Montserrat, AG Ioannidis - PACIFIC SYMPOSIUM ON BIOCOMPUTING 2024, 404-418, 2023