As an R&D software engineer, I develop bespoke reactor control software for our in-house bioreactors, as well as the frontend views that support their operation, including website and hardware screens (React, GraphQL, Electron). I work with a cross-disciplinary team in a fast-paced environment, which has led to the launch of our keystone hardware product, the Stratyx 250.

For our Data Science arm, I've developed physics-informed neural network (PINN) models that integrate physical constraints and biological heuristics with statistical models. These models simulate upstream bioprocesses and guide experiment design. I have authored a white paper on the use of kernel‑regression models for oxygen-transfer (kLa) prediction.

I see my role as being a generalist. I apply knowledge from my data science master's to approach system architecture, but I still have the ability to converse with scientists to understand their needs, all while working closely with product managers and designers to get high-impact features out the door.

Collaborate with data scientists and software engineers to develop Python packages for processing time-series fermentation experiment data. On my own, I also create and maintain many Binderhub tools to automate routine lab data tasks, which gets used by research associates and engineers.

I am also the liaison between Fermentation scientists and data/software engineering group, tracking and communicating new software, upgrades, issues. I also convey valuable user context to programmers. Additionally, I contributed to company-wide training sessions: semi-intermediate Python; introduction to fermentation data.

In company “Hackweek,” I led a team of three on a proof-of-concept on computing physiological rates using advanced fermentation science and linear algebra; the concept is later adapted to future experiments.

In a more traditional fermentation engineering setting, I apply novel cross-experiment/cross-program analysis using SQL (MySQL, Snowflake) and creative functions to reveal chronic issues in equipment or process.

Onboard new automated high-throughput small-scale fermentation system, scaling down existing processes and defining new profile-based step automations.

Utilize JMP and Excel macros to automate routine tasks and data analysis, reducing operator time and input error.

Facilitate operations of 1- to 5-L R&D fermentation tanks (DASGIP, BioFlo), across multiple projects/microorganisms.

Researched in activated sludge in wastewater treatment, particularly in Enhanced Biological Phosphorus Removal (EBPR). Executed bash-based applications on DNA/RNA data (filtering, assembly).