Experience
LexiFi
Software Engineer
Sept. 2024 - present
Input Output Global
Software Engineer (Haskell)
Sept. 2023 - July 2024
Team member in a blockchain indexing framework project, and engineer in the innovation group, turning research into software design into proof-of-concept applications. IOG is the lead research and development organization behind the Cardano blockchain.
NoviSci (Target RWE)
Advanced Statistical Software Developer
May 2023 - Sept. 2023
Primary Haskell developer for internal framework for processing electronic health records data into analysis-ready datasets for statistical inference studies. Leading R developer for licensed statistical libraries.
Senior Statistician for Software Development
June 2021 - April 2023
Software development in Haskell and R for statistical analysis, causal inference and large-scale data-processing for in-house epidemiological studies using real-world data.
Dept. of Statistics and Operations Research, UNC Chapel Hill
Research assistant
2019-2021
Uncertainty quantification, multifidelity modeling and exploratory statistical analysis of extreme ship motions and loads resulting from a computational physics model, in grant funded by the Office of Naval Research.
Data science course development
2017
Core member for technical content of a group creating the first undergraduate data science course in the department, part of the Data@Carolina initiative. Created at least 30 percent of materials. A collaboration with S. Bhamidi, I. Carmichael and D. Glotzer.
Teaching
2017-2021
Walter L. Deemer Excellence in Teaching Award.
Instructor for Introduction to data science (STOR 320); Decision models for business (STOR 113); Introduction to data models (STOR 155); Linear algebra camp for 1st-year graduate students.
Assistant for Measure theory (STOR 634); Machine learning (STOR 565); Introduction to data models (STOR 155); Real analysis camp for 1st-year graduate students.
General Administration, UNC System
Analyst, Finance Division
2014-2016
Forecasts and risk analyses of enrollment and financial aid requirements for the finance division of North Carolina’s 16-campus state university system. Development of methods using a variety of machine learning tools, including clustering, regression, tree methods, time series analysis, MCMC/Hamiltonian Monte Carlo.
NC Department of Stat Treasurer
Policy Analyst (contractor)
2013-2014
Data cleanup and statistical survival analysis of Teachers’ and State Employees’ Retirement System datasets. Policy briefs for legislative or executive audiences, including research and data analysis, written for decision-makers.
Academics
| Degree | Institution | Year |
|---|---|---|
| PhD, Statistics | University of North Carolina at Chapel Hill | 2021 |
| Master of Public Policy | Duke University | 2014 |
Research
- Convergence of reflected diffusions arising from interacting particle systems
- Monte carlo and coupling methods for statistical estimation of extremes for stochastic processes
- Master’s project: Survival analysis of work in retirement for the N.C. Teachers’ and State Employees’ Retirement System
Publications
Note: In the field of probability theory, authors are listed in order of last name not of contribution.
- Inert drift system in a viscous fluid: Steady state asymptotics and exponential ergodicity
- with Sayan Banerjee
- Trans. Amer. Math. Soc. 373 (2020), 6369-6409
- Dimension-free local convergence and perturbations for reflected Brownian motions
- with Sayan Banerjee
- Ann. Appl. Probab. 33(1): 376-416 (February 2023)
- Convergence of reflected diffusions from interacting particles
- Dissertation (2021)
- On Extending Multifidelity Uncertainty Quantification from Non-Rare to Rare Problems
- with Vladas Pipiras
- Proceedings of the 17th International Ship Stability Workshop (2019)
Technical skills
| Language | Proficiency |
|---|---|
| Haskell | ⋆ ⋆ ⋆ ⋆ |
| R | ⋆ ⋆ ⋆ ⋆ |
| SQL | ⋆ ⋆ |
| Rust | ⋆ ⋆ |
| Python | ⋆ ⋆ |
| Bash | ⋆ ⋆ |
| Stan | ⋆ |
Linux user for more than 10 years at home and at work. Moderate experience with deployment and CI environments using Docker and Nix.
From ⋆, can-make-it-work, to ⋆ ⋆ ⋆ ⋆, proficient and professional.
Projects
random-cycle
A Haskell library for efficient uniform random sampling of cycle partition graphs on sets of vertices, and partitions of lists or vectors. Selection can be subject to conditions. A personal project.
interval-algebra
An implementation of Allen’s interval algebra for temporal logic, used regularly for epidemiological applications at NoviSci (Target RWE). Credit for a substantial portion of the code goes to the previous author, but I maintained the package for most 2023 and am responsible for most of the code in the Core module.