Experience

Novome Biotechnologies

• United States
• Biotechnology Research
• 1 - 100 Employee

• Head of Data Science

  • Jul 2022 - Aug 2023

  Empowered researchers to work with and draw insights from data more effectively via initiatives across data engineering, data analytics, and bioinformatics. • Partner with stakeholders to map organizational needs to data strategy and implementation • Provide trainings, consultations, and documentation to increase data literacy across teams • Prototype, develop, and maintain — Scalable data models for capturing data from R&D experiments and workflows for Operations teams —… Show more Empowered researchers to work with and draw insights from data more effectively via initiatives across data engineering, data analytics, and bioinformatics. • Partner with stakeholders to map organizational needs to data strategy and implementation • Provide trainings, consultations, and documentation to increase data literacy across teams • Prototype, develop, and maintain — Scalable data models for capturing data from R&D experiments and workflows for Operations teams — Custom python analytics package to standardize data extraction/processing (ETL) and visualization — Production pipelines for analyzing bioinformatics workflows and lab assays — Cloud computing infrastructure for full-code and low-code analyses in Jupyter/Hex — Dashboards to enable no-code analyses, KPI tracking, and automation via Hex/Plotly Dash — AI-powered applications for analytics and knowledgebase search via LLMs/LangChain • Manage contractors on external consulting projects and relationships with software vendors (product roadmapping, licensing/contracts) • Architect and implement Novome’s transition from on-prem to the cloud for NGS applications • Advise researchers on / lead bioinformatics analyses (e.g. RNAseq, WGS, TnSeq, metagenomics) • Collaborate with Software team to successfully integrate data products into Novome’s LIMS

• Scientist II (Data Science Lead), Data Science

  • Jan 2022 - Jul 2022

• Scientist (Data Science Lead), Data Science

  • Jul 2021 - Jan 2022

  Founded the Data Science practice at Novome to drive data engineering, analytics, and bioinformatics initiatives

• Scientist (Data Analytics Lead), Informatics

  • Feb 2020 - Jul 2021

  As a co-founding member of the Informatics group, I led the development of data analytics products and provided analytics services to R&D teams. Data Analytics as a Product: I led the development of Novome’s internal analytics platform for the standardized collection, analysis, and visualization of experimental data. • Data Infrastructure: developed a scalable framework for designing experiments and collecting structured data, which became the company-standard for in vitro and in vivo… Show more As a co-founding member of the Informatics group, I led the development of data analytics products and provided analytics services to R&D teams. Data Analytics as a Product: I led the development of Novome’s internal analytics platform for the standardized collection, analysis, and visualization of experimental data. • Data Infrastructure: developed a scalable framework for designing experiments and collecting structured data, which became the company-standard for in vitro and in vivo (including IND-enabling) experiments • Software Engineering: designed and built from scratch an analytics package and deployed to company along with Jupyter-driven ecosystem and off-the-shelf data science tools/packages • Product Management: drove platform development and adoption based on stakeholder feedback and user metrics Data Analytics as a Service: I worked closely with cross-functional R&D teams to drive insights from high-throughput and complex datasets. • Drove data culture by providing trainings and consultations on experimental design and analysis • Led and/or advised on bioinformatics-intensive experiments (e.g. RNAseq, metagenomics) Scientific support for NOV-001 IND filing • Led audit of IND-enabling experiments to drive, understand, confirm, and build upon findings as part of successful FDA submission • Developed primary clinical assay for Novome’s Ph1/2a Hyperoxaluria trial, managed tech transfer to CRO sites in Cincinnati and Belgium, and prepared validation documentation for IND filing

• Scientist, R&D

  • Jul 2019 - Feb 2020

  As a Scientist on the R&D team, I worked on improving our biocontainment platform to enable more controllable colonization of our therapeutic strains in the gut. During this time I also worked on developing best practices and tools for the standardized collection, analysis, and visualization of experimental data at Novome.



University of California, Berkeley

• United States
• Higher Education
• 700 & Above Employee

• PhD Graduate Student

  • Aug 2014 - Jul 2019

  Berkeley, CA As a graduate student in Adam Arkin's lab at UC Berkeley, I developed technologies for interrogating genome function and editing genomes to carry out user-defined functions. My work included (1) developing CRISPRi as a platform for annotating microbial genome function using high-throughput genetic screens, (2) creating platform strains of bacteria for high-fidelity multiplex genome editing, and (3) engineering novel CRISPR architectures that act not only as promising scaffolds for… Show more As a graduate student in Adam Arkin's lab at UC Berkeley, I developed technologies for interrogating genome function and editing genomes to carry out user-defined functions. My work included (1) developing CRISPRi as a platform for annotating microbial genome function using high-throughput genetic screens, (2) creating platform strains of bacteria for high-fidelity multiplex genome editing, and (3) engineering novel CRISPR architectures that act not only as promising scaffolds for effector fusions but can also be programmed to sense and respond to endogenous cellular signals.

• Graduate Student Instructor

  • Jan 2017 - May 2017

  Berkeley, CA • Developed and presented weekly lectures for a 30-student bioengineering course covering the applications of quantitative modeling and machine learning in systems biology • Co-designed the course syllabus, assignments, and exams with faculty instructor



Biotech Connection - Bay Area, Inc.

• United States
• Biotechnology Research
• 1 - 100 Employee

• Project Manager

  • May 2018 - Oct 2018

  San Francisco Bay Area • Led a 5-member consulting team to identify 6 lead indications for drug development (from a list of over 2000) for a VC-funded therapeutics company • Evaluated clinical indications and matched client’s expertise to patient needs using a hypothesis-driven prioritization framework, clinical trial developability analysis, market research, and KOL interviews • Advised company executives directly to meet objectives and drive R&D strategy



Berkeley Lab

• United States
• Research Services
• 700 & Above Employee

• Research Assistant

  • Jun 2013 - Jun 2014

  Berkeley, CA • Engineered E. coli so that genome-level technologies such as MAGE, TRMR, and Cas9 can be applied to more effectively search and optimize the mutational-design space for metabolic engineering applications



University of California, Berkeley

• United States
• Higher Education
• 700 & Above Employee

• Undergraduate Researcher (iGEM)

  • Apr 2012 - May 2013

  Berkeley, CA • Developed a fluorescent cell barcoding system (MiCodes) to utilize microscopy as a high-throughput genetic library screening technology • Programmed cell segmentation, barcode recognition, batch processing software to automate high-throughput barcode-phenotype analysis using Matlab • Represented UC Berkeley at the iGEM undergraduate team research competition, winning First Place and Best Presentation awards at the Americas West Regional



Energy & Biosciences Institute

• United States
• Biotechnology Research
• 1 - 100 Employee

• Undergraduate Researcher (Dueber Lab)

  • Dec 2010 - May 2012

  Berkeley, CA • Characterized organelle import capacity in yeast for metabolic pathway compartmentalization through protein targeting experiments and image analysis • Explored methods to improve protein scaffolding efficiency by engineering targeted degradation machinery via a multifunctional peptide tag