Promega-Madison, WI
October 2020-Present
Product Manager, Instrumentation Software

Managing software product strategy and developing production-grade analysis engines and predictive models for scientific data applications.

• Developed and trained three predictive models—one k-Nearest Neighbors (kNN) and two deep learning convolutional neural network models with PyTorch—using simulated datasets to prototype future-gazing products and capabilities.
• Bridge communication between business stakeholders and software developers, translating life sciences and software domain knowledge into implementable tasks.
• Successfully launched a web-based cloud product for integrated scientific instruments with applications that enabled end-to-end data capture, analysis, and visualizations.
• Developed four production-ready analysis engines to process complex datasets, reducing computation time from multiple hours to seconds.
• Assisted in authoring detailed documentation and test plans that supported the launch of two scientific instruments (Spectrum CE and Galaxy)

Specific Diagnostics-Mountain View, CA
October 2019-July 2020
Data Scientist

Designed and implemented scalable data processing pipelines to streamline analysis of data.

• Created a high-throughput drug plate analysis pipeline using Pandas, Numpy, and ExcelWriter that reduced processing time from 20 minutes per plate to seconds.
• Automated conversion of PDF-based reports to structured CSV data with Tabula, eliminating manual entry and improving reproducibility.
• Generated code using Pandas, Numpy, ExcelWriter, and Matplotlib that converted raw data into customized report structure with various statistical outputs, resulting in an automated process that takes a few minutes instead of a handful of hours.
• Refactored code base that produces statistics that highlights differences between different bacterial strains and their susceptibility with various antibiotics.

University of California, Berkeley Extension—Belmont, CA
Aug 2018-Jun 2020
Teaching Assistant, Data Analytics & Visualization Certification Program (Evening Program)

Actively mentored students for success in a fast-paced data analytics program, fostering industry readiness for data-focused careers.

• Provided instruction on technologies in Python, SQL/noSQL, HTML/CSS/JavaScript, D3.js, Tableau, VBA, Git, APIs, and Machine Learning.
• Troubleshoot code and mentored students on organization, visualization, and interpretation of data to make impactful conclusions.

Promega—Sunnyvale, CA
Dec 2016-Oct 2017
Systems Engineer

Designed, performed and analyzed complex sets of capillary electrophoresis (CE) data produced by the Spectrum platform to determine reliability of the system.

• Collaborated across engineering and R&D teams to identify, diagnose, and resolve system issues for the Spectrum platform at various stages of product development.
• Conducted root-cause failure analyses of instrumentation systems and presented results that informed design improvements and prototype optimizations.
• Executed proof-of-concept experiments that led to the development of a new analytical device.

LakePharma—Belmont, CA
Aug 2015- Dec 2016
Scientist

Successfully developed customized biofunctional assays that include cell-based reporter assays, lysate-based colorimetric assays, ELISAs, and FACS-based assays (Accuri C6, IntelliCyt iQue).

• Developed and optimized the standard operating procedure for hybridoma electrofusion, associated media conditions, and assays for high-throughput hybridoma characterization/screening.
• Designed and executed campaigns for oncology targets for antibody selection and therapeutic use.
• Completed the molecular construction of 148 vectors that express target proteins utilizing a combination of techniques (gene synthesis, PCR, ligation, homologous recombination).
• Streamlined the dual-expression vector and standard construction procedure to reduce cloning time from one month to one week.