AI & Technology Industry Research 7 positions
2023–presentAI & Tech

Senior Researcher, Health Futures, Microsoft Research, Cambridge MA

Building novel methods and pipelines to improve rare disease solve and diagnostic rates in partnership with the Broad Institute of MIT and Harvard, and the Centre for Population Genomics, Australia.

Learn more ↗
Spring 2022AI & Tech

Computational Biologist, Data Infrastructure & ML, Phenome Health / Deloitte, San Francisco CA

Developed scientific and business strategy for healthcare and life science start-up under Dr. Leroy Hood.

Fall 2021AI & Tech

Researcher and Creator, Google Cloud, Palo Alto CA

Developed new computational biology frameworks in collaboration with biotech companies and Google Cloud.

Summer 2021AI & Tech

Research Intern, Biomedical Computing, Health Futures, Microsoft Research, Redmond WA

Developed three interpretable Bayesian inference models leveraging temporal and multi-omic data to uncover dysregulation in breast cancer, ALS, and Parkinson's disease.

Summers 2013–2014AI & Tech

Bioinformatics Researcher, MIT Lincoln Laboratory, MA

Developed a fast protein analysis algorithm using Dynamic Distributed Dimensional Data Model (Dr. Jeremy Kepner), merging sparse algebra, associative and distributed arrays, and triplestore/NoSQL databases (Accumulo).

Summers 2013–2014AI & Tech

Arduino Workshop Creator, Google Computer Science Summer Institute (CSSI), Cambridge MA

Created, recruited, implemented, and led Arduino workshop for 40+ students at Google's Summer Institute.

GitHub ↗
Summer 2011AI & Tech

Technology Sales and Marketing Associate, JDS Uniphase, TX / NY

Researched, tested, taught, and marketed communication software, services, and solutions for Verizon and AT&T.

Academic Research 10 positions
2022Academic

Post-doctoral Researcher, Biostatistics, Brown University, Providence RI

Developed interpretable Bayesian machine learning and statistical models from multi-omics data. Advisor: Dr. Lorin Crawford.

2019–2022Academic

Ph.D. Researcher, CCMB, Brown University, Providence RI

Developed interpretable Bayesian ML models for longitudinal multi-omic studies and platforms to understand gene regulation. Advisors: Dr. Lorin Crawford, Dr. Erica Larschan, Dr. Charles Lawrence.

Fall 2018Academic

Machine Learning Scholar, Rhode Island Department of Health

Designed predictive model to address a need in Rhode Island's hospital systems. Findings aimed to inform state legislation.

2015–2017Academic

Graduate Student, Computer Science, Princeton University & Brown University

Designed deep learning model to improve DNA single-cell sequencing data for copy-number inference. Developed pipeline to identify subclonal driver mutations in bulk sequencing tumor samples across nine cancer types.

2014–2015Academic

Game Theory Researcher (Fulbright Scholar), Département d'Informatique, ULB, Belgium

Created a method to uncover binding specificities in SH3 protein domains using machine learning, cooperative game theory, and structural bioinformatics.

2012–2014Academic

Bioinformatics Researcher & Tutor, DePauw University, Dr. Chester Fornari, IN

Devised labs & tutored Bioinformatics and Cells & Genes. Integrated MEGA and Chimera to analyze TP53.

Summer 2013Academic

Chemical Inventory Database Creator, Senior Project, DePauw University, IN

Designed, built, and deployed database (Parse Platform) and front end (HTML, CSS) used by ~2,000 users across many departments.

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Spring 2012Academic

Visiting Scholar, Département d'Informatique, ULB, Belgium

Analyzed the role of core amino acids in a FYN SH3 protein domain using structural bioinformatics and game theory techniques.

Summer 2011Academic

Behavioral Ecology Researcher, Science Research Fellowship, DePauw University, IN

Developed procedures to test and analyze calling patterns of Acris blanchardi. Tested parachuting behavior across three frog species.

Fall 2010Academic

Inorganic Chemistry Researcher, Science Research Fellowship, DePauw University, IN

Synthesized ionogel and determined chemical and physical properties for use as a catalyst for biosensing, optics, and electrolytes.

Pharmaceutical Research 3 positions
January 2013Pharma

Visiting Scholar, Center for Structural Biology, Vanderbilt University, TN

Assisted in development of new structure prediction algorithms in RosettaLigand and proposed new ML techniques in Biochemical Library (BCL) drug discovery project.

Summer 2012Pharma

Quality Control Researcher, Eli Lilly and Company (Elanco), IN

Designed, tested, and implemented two software programs for deviation documentation and instrument control. The deviation documentation program went GLOBAL for Elanco plants in Nov. 2012. Worked with GC, AA Spectroscopy, and HPLC.

Summer 2008Pharma

Inorganic Chemistry Researcher, Eli Lilly and Company, IN

Assessed hydrolytic stability of cyclopropanecarboxylic acid esters as potential prodrugs. Synthesized an acyclovir prodrug and evaluated a ghrelin O-acyltransferase inhibitor as a therapeutic target for obesity and diabetes.

Post-doctoral Researcher

Biostatistics Department, Brown University, Providence RI · 2022

Statistical (mostly Bayesian) methods for multi-omics studies to uncover gene regulation. Advisor: Dr. Lorin Crawford.

Ph.D., Computer Science & Computational Biology

Center for Computational and Molecular Biology (CCMB), Brown University, Providence RI · 2022

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.

M.S., Computer Science

Brown University & Princeton University, RI / NJ · 2019

Cancer genomics concentration. Built DNA single-cell copy-number inference method and tool to find subclonal mutations in bulk tumors. Advisor: Dr. B. Raphael. Thesis ↗

B.A., Computer Science, magna cum laude

DePauw University, Greencastle IN · 2014

Biochemistry specialization, minor French. GPA 3.7. ITAP and SRF selective honors programs. Honors: Mortar Board, Chi Alpha Sigma, Phi Eta Sigma, Order of Omega, NSCS, Alpha Lambda Delta.

Skills & Expertise

Programming Languages

BashC++CCSSHTMLJuliaJavaMATLABpMatlabPythonRRShinySQLMarkdown

Dev Tools & Environments

Azure DevOpsArduino IDECondaDockerJupyterRStudioVS CodeXcode

Big Data & HPC

Apache AccumuloApache HadoopAzureCudaMPIOpenMPSlurm

Languages

English (native)French (fluent)Spanish (fluent)Dutch (beginner)Portuguese (beginner)
Honors & Awards

International & National

  • 2014–2019 NSF Graduate Research Fellowship (NSF GRFP)
  • 2014–2015 Fulbright Research Scholar, Belgium
  • 2015 Belgian American Education Foundation Fellow
  • 2014 SMART Fellowship (declined, NSF GRFP)
  • 2013 Grace Hopper Poster Award; NSF (2010), Xerox (2012), Intel (2013) scholarships
  • 2011 Ohio Celebration of Women in Computing scholarship
  • 2010 Science National Honor Society; NSCS
  • 2009 Indiana HSAA Role Model

DePauw University

  • 2014 Old Gold Award: academic excellence and high achievement
  • 2012 Internships in Francophone Europe fellowship
  • 2010–2014 Dean's List (every semester)
  • ITAP and SRF, selective honors programs
  • Mortar Board, Chi Alpha Sigma, Phi Eta Sigma, Order of Omega, NSCS, Alpha Lambda Delta

Relevant Coursework

CS/Math: Bayesian Inference in Genomics & Molecular Biology, Advanced Probabilistic Methods, Computational Molecular Biology, Advanced Algorithms in Computational Biology, Coalescent Theory, Statistical Inference, Bioinformatics
Biochemistry/Biology: Genetics, Function & Structure of Biomolecules, Ecology & Evolution, Cells & Genes, Enzyme Mechanisms
Lab skills: NMR, Mass Spectroscopy, IR Spectroscopy, Chromatography, PCR, Gel Electrophoresis, GC, HPLC, AA Spectrometry