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

Ian Anderson