Drew Wilimitis
PHD Student Trainee at Vanderbilt University
Nashville-Davidson, Tennessee, United States
Summary
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Senior🎓
Top SchoolDrew Wilimitis is a PhD student in Biomedical Informatics at Vanderbilt University with a decade of experience applying machine learning and statistical methods to real-world healthcare problems. He has driven production-grade predictive models and federated learning efforts for mental health and overdose risk, and demonstrated that integrating real-time ML with clinical screening improves suicide risk detection. His background spans industry and academia—from deploying personalized recommendation systems at scale for Hyatt to designing causal analyses and NLP pipelines at Vanderbilt University Medical Center. Drew combines strong mathematical training from the University of Chicago with practical data engineering and cloud deployment skills (AWS, Redshift, LightGBM), enabling research that translates into operational clinical tools. Notably, he pairs unsupervised methods for psychiatric subtyping with wearable and smartphone data, highlighting a rare mix of methodological breadth and attention to clinical impact.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Biomedical Informatics, Doctor of Philosophy - PhD, Biomedical Informatics at Vanderbilt UniversityBachelor of Science - BS (Honors), Computational and Applied Mathematics, Bachelor of Science - BS (Honors), Computational and Applied Mathematics at University of ChicagoHigh School Diploma, Valedictorian, High School Diploma, Valedictorian at Plainfield North High SchoolProgramming languages (1)
Github contributions (5)
drewwilimitis/hyperbolic-learning
Jul 2019 - May 2020
Contributions:162 commits, 138 pushes, 8 comments in 10 months
drewwilimitis/Manifold-Learning
Mar 2019 - Mar 2020
Contributions:34 commits, 72 pushes, 5 branches in 11 months
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