TLDR;
Creative and hardworking cross-functional hacker working on problems at the interface of informatics, software, and hardware in biotech. 5+ years of experience at the bench developing and scaling high content + high throughput assays to fuel machine learning models. Excellent presentation skills and unique strength in computational image and data analysis (R, Python) unlocking phenotypic discovery and sky-high throughout. Process engineer who sees and walks the shortest path.
Experience
Founding Member, Axiom Bio
2023-2025, San Francisco CA
Select and engineer early cell stress features, including development of sensitive algorithms to detect any morphology change using deep learning image representations. Guide the assay development process for new data acquisition projects. Develop scientific sales and marketing content and strategy. Keeper of poison dart frogs.
Publication (manuscript): Cell Painting for cytotoxicity and mode-of-action analysis in primary human hepatocytes.
Scientist, Insitro - Arrayed Screening, Neuroscience
2022-2023, South San Francisco, CA
Adapted and executed high-content phenotypic assays for high-throughput small molecule screening efforts for tuberous sclerosis (TSC) and ALS on near-fully automated cell feeding, fixation, ICC, and imaging platforms (BioTek, High-Res). Developed digital phase contrast imaging modality and corresponding analysis pipeline in Python to track neuron growth dynamics and drive label-free phenotypic discovery.
Technical Associate II, Massachusetts Institute of Technology - Synthetic Neurobiology Group
2021-2022, Cambridge, MA
Optimized multiplexed expansion revealing (mExR) stripping technique for 7+ rounds of IHC on 16x linearly expanded specimens, enabling simultaneous nanoscale resolution
visualization of 30+ proteins. Developed, refined, and executed various corresponding image analysis scripts in ImageJ/Fiji and MATLAB to support figure generation.
Publication (manuscript): Multiplexed Expansion Revealing (multiExR) for Imaging of Many-Component Nanostructures in Healthy and Diseased Brain. [preprint available upon request]
Associate Scientist II, AbbVie - Foundational Neuroscience Center Early R&D
2018-2021, Cambridge, MA
Specialized In primary murine and hiPSC neuronal tau aggregation high content
analysis/screening (HCA) assays using PerkinElmer Opera automated confocal system and corresponding Harmony software. Used microfluidic devices to model intercellular
propagation of tau pathophysiology in AD. Wrote R scripts for automated and reproducible
dose response generation to profile and rank lead candidates.
Research Technician, Massachusetts General Hospital
2017-2018, Boston, MA
Used voltage-clamp electrophysiological methods in GABAR- expressing Xenopus oocytes to elucide the mechanisms of general anesthetics.
Publication (manuscript): Inhibitable photolabeling by neurosteroid diazirine analog in the β3-Subunit of human hetereopentameric type A GABA receptors
Projects
OpenTronsformers (NYC)
A companion automation engineer for wet lab scientists - unlocking the OT-2 robot and Python SDK using LLM code generation. Won 2nd place at BioHack NYC 2023, pitch deck here
WeSci (NYC)
Science everywhere, faster: data mesh and design of experiments (DOE) on chain for distributed research teams. Promoting advanced software tooling for science within the AI NYC and DeSci NYC communities.
Education
Harvard University
2017-2020
Graduate coursework through the Extension School while employed full-time: Social Medicine, Intro to Programming (Python), Image Processing and Computer Vision (Python)
B.A., Colgate University, cum laude
2013-2017
Major: Cellular Neuroscience; Minor: Mathematical Systems Biology
Publication (poster): Undergraduate Research Thesis: “Investigating RNAi as a potential therapeutic for Huntington’s Disease in a Transgenic mHTT145Q Zebra Finch (Taeniopygia guttata) Model”. Colgate Class of 2017 Neuroscience Thesis Poster Presentations. Colgate University, Hamilton, NY
Publication (poster): 2016 Summer Research:“Atopy and helminth infection in Ethiopian schoolchildren”. Colgate Summer 2016 Research Poster Symposium. Colgate University, Hamilton, NY
Publication (poster): 2015 Summer Research: “PDE2 regulation of β-arrestin signaling”. Systems Biology Center New York (SBCNY) 2015 Summer Trainee Poster Symposium. Icahn School of Medicine at Mount Sinai Hospital, New York, New York
Coursework highlights: Systems Biology, Bioinformatics, Biostatistics, Mathematical Biology(Differential Equations), Biophysics, Neuroethology, Epidemiology, Bioethics, Psychopharmacology, Organic Chemistry, Biochemistry, Multivariable Calculus, Linear Algebra
Participated in extended study program in “Marine Mammal Cognition, Behavior, and Conservation”at the Dolphin Research Center in Grassy Key, Florida (Dec/15- Jan/16)
Co-captain of Division I Track and Field Team (F16-S17) and recipient of Dorothy-Waltham Award forAthletic Leadership (Feb17)
Skills & Tools
Computational
- Python (data science, image processing and segmentation)
- Design of experiments (DOE)
- Electronic Lab Notebook (ELN) tooling (Benchling)
- Univariate and multivariate statistics, dose-response curve fitting (GraphPad Prism, R, Python)
- Data visualization (R, Python)
- R (ggplot2, tidyverse, drc, platetools)
- Python (Jupyter, matplotlib, numpy, scipy, xlsxwriter, scikit-learn, pandas, seaborn, Google Colab)
- ImageJ/Fiji, macro scripting
Wet Lab
- Cell culture: primary murine neuron, hiPSC neuron models
- Microfluidic cell culture models
- Immunocytochemistry (ICC) / immunohistochemistry (IHC)
- Confocal microscopy (manual, PE Operetta/Opera Phenix)
- High content image analysis (PerkinElmer Harmony)
- Automated liquid handling systems and schedulers (OpenTrons,Integra Assist Plus and Viaflo, BioTek, Labcyte Echo, High-Res Biosolutions, Green Button Go)
- Assay development and high throughput, high content screening
- Stereotaxic surgery / Tissue microdissection
- Voltage-clamp electrophysiology
Certifications
FII Level 1 Freediver
SII Shark Ecology Specialty