Experience & Education
Professional Research and Computing Experience
2023–Present
Senior Researcher, Health Futures, Microsoft Research, Cambridge, MA
- Building novel methods and pipelines to improve rare disease diagnostics
- Collaborating with Broad Institute of MIT and Harvard, and Center for Population Genomics, Australia
2022
Post-doctoral Researcher, Biostatistics Department, Brown University, Providence, RI
- Developing interpretable Bayesian machine learning and statistical models from multi-omics data
2019–2022
Ph.D. Researcher, Center for Computational and Molecular Biology (CCMB), Brown University
- Created interpretable Bayesian models for longitudinal multi-omic studies
- Designed experiments, developed methods, and validated results with wet-lab collaboration
Spring 2022
Computational Biologist, Phenome Health, Deloitte, San Francisco, CA
- Developed scientific and business strategy for healthcare startup under Dr. Leroy Hood
Fall 2021
Researcher and Creator, Google Cloud, Palo Alto, CA
- Built computational biology frameworks in collaboration with biotech companies
Summer 2021
Research Intern, Biomedical Computing, Microsoft Research, Redmond, WA
- Developed interpretable Bayesian models for breast cancer, ALS, and Parkinson’s disease
Fall 2018
Machine Learning Scholar, Department of Health, RI
- Designed predictive model for hospital systems; aimed to inform state legislation
2015–2017
Graduate Student, Princeton University & Brown University
- Designed deep learning model for DNA single-cell sequencing
- Developed pipeline for subclonal driver mutation identification across nine cancer types
2014–2015
Game Theory Researcher, Université Libre de Bruxelles, Belgium
- Created method to uncover SH3 protein binding specificities using ML and cooperative game theory
Summer 2013
Bioinformatics Researcher, MIT Lincoln Laboratory
- Developed fast protein analysis algorithm using D4M and NoSQL databases
Summer 2013
Database Creator, Department of Chemistry, DePauw University
- Built and deployed chemical inventory system used by ~2000 users
January 2013
Visiting Scholar, Center for Structural Biology, Vanderbilt University
- Contributed to RosettaLigand structure prediction and BCL drug discovery projects
2011–2012
Technology Associate, Alumni Office, DePauw University
- Produced IT solutions and media for faculty and alumni engagement
Summer 2012
Quality Control Researcher, Eli Lilly and Company (Elanco), IN
- Designed software for deviation documentation and instrument control
- Systems adopted globally and automated daily operations
Spring 2012
Visiting Scholar, Université Libre de Bruxelles, Belgium
- Analyzed core amino acids in FYN SH3 domain using bioinformatics and game theory
2010–2011
Technology Associate, IT Help Desk, DePauw University
- Led team of 10 to implement tech solutions and website revamps
Summer 2011
Sales & Marketing Associate, JDS Uniphase, TX & NY
- Marketed communication software and services to Verizon and AT&T
Summer 2011
Behavioral Ecology Researcher, Department of Biology, DePauw University
- Studied frog calling patterns and parachuting behavior
Fall 2010
Inorganic Chemistry Researcher, Department of Chemistry, DePauw University
- Synthesized ionogel for biosensing and optical applications
Summer 2008
Inorganic Chemistry Researcher, Eli Lilly and Company, IN
- Synthesized prodrugs and evaluated therapeutic targets for obesity and diabetes
Skills
Programming Languages
- Bash, C++, C, CSS, HTML, Julia, Java, MATLAB, pMatlab, Markdown, Python, R, RShiny, SQL
Development Tools
- Azure DevOps, Arduino IDE, BlueJ, Conda, Docker, Eclipse, Jupyter, Putty, RStudio, Terminal, VS Code, Xcode
Big Data & Computing Environments
- Apache Accumulo, Apache Hadoop, Azure, MPI, OpenMP, Slurm
Software & Platforms
- ArcGIS, Arduino, Audacity, Business Objects, Cytoscape, Chimera, Discoverant, Dreamweaver, Final Cut Pro, GIMP, Google Cloud Platform, Illustrator, Infopath, MakerBot, Raspberry Pi, Raven, RosettaLigand
Languages
- French (fluent), Spanish (fluent), Dutch (beginner), Portuguese (beginner)
Education
2022
Post-doctoral Researcher, Biostatistics Department, Brown University
Advisor: Dr. Lorin Crawford
2022
Ph.D. in Computer Science, Computational Biology, Brown University
Center for Computational and Molecular Biology
Thesis: It’s About Time: Developing Interpretable Models to Uncover Regulatory Mechanisms from Temporal and Multi-Omics Data
Advisors: Dr. Lorin Crawford, Dr. Erica Larschan, Dr. Charles Lawrence
2019
M.S. in Computer Science, Brown University
Thesis: Identification of Subclonal Drivers and Copy-Number Variants from Bulk and Single-Cell DNA Sequencing of Tumors
Advisor: Dr. Benjamin Raphael
2014
B.A. in Computer Science, Biochemistry specialization, minor in French, magna cum laude
DePauw University, IN