Build novel methods and pipelines to improve rare disease solve and diagnostic rates in partnership with the Broad Institute of MIT and Harvard, and the Center for Population Genomics, Australia Learn more

Develop interpretable Bayesian machine learning and statistical models from multi-omics data.

Developed interpretable Bayesian machine learning models for longitudinal multi-omic studies and platforms to understand gene regulation. I formulated novel research directions, perform experiment design, method development, result and wet-lab validation.

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

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

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

Designed predictive model to address a need in Rhode Island's hospital systems. The hope is to form state legislation based on findings.

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

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

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

Created, recruited, implemented, and led Arduino workshop for 40 students at Summer Institute. Learn more

Designed, built, and deployed database (Parse Platform) and front end (HTML, CSS). ∼2000 users for many departments. Learn more

Assisted in development of new structure prediction algorithms in RosettaLigand program (simulations and design of macromolecules) and proposed new machine learning techniques in Biochemical Library (BCL) drug discovery project.

Provided information technology solutions for faculty and staff. Built video presentations for award lectures and conducted interviews for alumni networking.

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

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

Designed, tested and implemented two software programs. One for deviation documentation and the other instrument control. The former went GLOBAL for Elanco plants in Nov. 2012, the latter runs automatically daily. Learned how to use Gas Chromatography, Atomic Absorption Spectroscopy, and High Performance Liquid Chromatography.

Project manager for team of ten that implemented technology solutions for students and faculty, including revamping websites and software troubleshooting.

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

Developed procedures to test and analyze different advertisement and aggressive calling patterns of Acris blanchardi. Tested parachuting behavior of Hyla chrysosclis, Acris blanchardi, and Anaxyrus fowleri.

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

Assessed hydrolytic stability of cyclopropanecarboxylic acid esters as potential prodrugs. Synthesized an acyclovir prodrug and worked with a ghrelin O-acyltransferase inhibitor to evaluate use as a potential therapeutic target to treat obesity and diabetes.