Machine learning in industrial synthetic biology: Developed statistical models, machine learning techniques, and data mining techniques to predict performance of manufacturing strains using diverse biochemical datasets.Collaborated with cross-functional teams to understand project requirements and objectives, design/conduct experiments, and test hypotheses/validate models.Developed statistical tests and custom visualizations to evaluate model performance (Scikit-learn, Plotly) and deployed/evaluated models on Google Cloud Platform (GCP).Data engineering and dashboarding: Led development of interactive dashboard tools for rapid data visualization for cross-functional teams using Business Intelligence software and Python applications.Data literacy and cross-functional communication: Routinely presented modeling results to non-data audiences, including senior leadership, earning buy-in for data-driven initiatives to advance business goals.Directed a course to teach 60 "non-coding" scientists fundamental data technologies (SQL, Python, visualization), of whom 30 went on to developed and presented a computational solution to a pain-point in their domain.

Developed computational methodology to infer diffusion coefficients and kinetic parameters from single particle tracking experiments.

Instructor: Calculus 1, Differential Equations with Linear Algebra.Teaching Assistant: Calculus 1-3, Differential Equations with Linear Algebra, Matrix Methods & Applications.

Developed a "rule-based" (BioNetGen) model of a large chemical reaction network to probe the effects of EGFR/ErbB2 heterodimer formation on recruitment of signaling proteins.Documented parameter fitting software, BioNetFit.

Performed ab initio molecular dynamics simulations to estimate terms for the AMBER ff15ipq forcefield.Contributed analysis tools for the ensemble-simulation toolkit WESTPA (https://westpa.github.io/westpa/).

Led recitations for pre-calculus courses in the Mathematics department.Provided walk-in tutoring for all undergraduate courses in the campus Math Assistance Center.

Morphometric analysis of tissue closure events in fruit flies.

Identified candidate epigenetic factors that give rise to different clinical outcomes between subtypes of childhood leukemia through analysis of RNA expression.