Computational enzyme engineer and applied AI consultant.
UC Berkeley — Genetics & Plant Biology (2016 – 2021)
Five years on transgenerational epigenetics in plants — raising generation after generation and phenotyping what carried through.
- Transgenerational epigenetic inheritance
- Multi-generation plant growth and phenotyping
- R, Python and HPC alongside the bench
Technologies: Epigenetics, Plant Biology, Phenotyping, Python, R
Stanford — High-Throughput Molecular Biology (2019 – 2022)
Oligo synthesis and molecular cloning at volume — making DNA to order, a plate at a time.
- High-throughput oligonucleotide synthesis
- Multi-well cloning and construct assembly
- Large genetic variant libraries
Technologies: Oligo Synthesis, Molecular Cloning, Construct Assembly
UC Davis — PhD — ML for Enzyme Design (2022 – now)
Protein language models that predict how an enzyme will behave before anyone makes it — backed by a great deal of SLURM.
- pLMs for zero-shot stability and fitness
- Distributed structural pipelines on SLURM
- Predictions that steer real lab rounds
Technologies: Protein Language Models, PyTorch, SLURM, Enzyme Engineering
Consulting — Applied AI & Agentic Systems (Taking clients)
I build agents that take the repetitive work off your team, wire them into the tools you already use, and teach your people to run them.
- Built on your real processes, not demos
- Comp-bio depth plus production software
- A login for tracking and handoff
- Workflow audit (1 week): Map one workflow, find the leverage, leave you a build plan.
- Team workshop (1 day): Hands-on session getting your team productive on your own stack.
- Agent prototype (1–2 weeks): One recurring manual task, turned into something you can test.
- Production build (4–8 weeks): Harden the prototype: auth, orchestration, monitoring, handover.
Technologies: Agentic Workflows, Claude Code, Orchestration, Protein Design
Projects — Systems & Platforms (2023 – now)
Production systems and research platforms. Some live, some still under wraps.
- Proteomics agent live across 500+ foods
- Metagenomics search on a SLURM cluster
- Stealth work in protein LMs and mass spec
- Proteomics Agentic Researcher: A research assistant covering 500+ foods for the Periodic Table of Foods Initiative — search, retrieval and cross-food comparison in one place.
- Metagenomics Sequence Search: Sequence search over a SLURM cluster, with job orchestration, live status and packaged results.
- GigaRef Search: Terabyte-scale genomic indexing and query engine for large metagenomic references.
- Protein LM & Mass Spec Work: Private pipelines, statistical modelling and protein language model work. Happy to talk themes on a call.
Technologies: Next.js, FastAPI, SLURM, PyTorch, Postgres