∙ Created model to infer species-level stability parameters from time series data of host-associatedmicrobial ecosystems; used Hamiltonian Monte Carlo, implemented in Stan to performing inference of 100,000+ parameters; applied model to analyze and quantify variation of species-levelstability parameters across cohorts of individuals using R.∙ Characterized the evolution of flow hierarchy in bacterial metabolic networks using data analyticand simulation approaches; reconstructed metabolic networks from reaction databases, inferredancestral network states, and described adaptations that leading to hierarchical topologies∙ Studied the emergence of multiagent coordination protocols using reinforcement learning to identify implicit communication strategies in iterated prisoner’s dilemma tournaments∙ Developed curriculum and taught graduate seminar in Complex Systems, and led sections forundergraduate biology classes

Developed Bayesian volatility model to predict distributions of equity index returns; Created, backtested and implemented an options strategy based on predictions from the model.

∙ Designed, implemented, and tested infrastructure Ruby on Rails for development of predictive Rmodels and integration of model results into the product∙ Developed empirical Bayesian predictive models for customer lifetime value, product returns, andresponses to email campaigns∙ Assisted in marketing, sales and recruitment by writing material for company blog and website,attending sales meetings and teaching seminars and courses on data analytics

∙ Performed a comparative RNA-Seq study of 4 strains of yeast to characterize the role of antisense transcription in yeast transcription regulation.∙ Developed informatics pipelines for Penn Genomes Frontiers Institute sequencing core center.

DAAD RISE Stipendium RecipientDeveloped a Hidden Markov Model (HMM) to identify trans-membrane beta-barrel proteins based on amino acid sequences.

∙ Performed wind resource assessments to evaluate potential wind farm sites for long term windenergy generation potential∙ Created software to expedite gathering of long term wind data; moved from manual system, toan automated system with a central database, which improved efficiency by 95%