AI / ML consulting applied to biology
Bioinference applies AI and machine learning to protein engineering, the evaluation of biotech programs, and the daily operations of research teams.
Who we are
Bioinference is a scientific consulting firm. We work with biotech companies, investors, and research groups that need computational methods applied with the same rigor as the experiments that test them.
Services
Each engagement is built around your targets, your data, and the decision you need to make.
01
We help teams design and optimize antibodies, binders, and engineered cell therapy components. Our work combines generative and structure-based methods, including RFdiffusion, ProteinMPNN, AlphaFold, and Rosetta, with experimental strategy so that computational output leads to testable candidates.
02
We provide technical diligence for investors and business development teams evaluating therapeutic programs and platform companies. Our AI-assisted research tools retrieve and synthesize literature, clinical trial records, and patents into sourced findings that can be checked.
03
We review how a team collects, analyzes, and reports data, find where those workflows slow down, and build solutions that remove the bottlenecks.
Agentic AI training
Scientists learn to hand multi-step work to AI agents: searching and summarizing literature, querying databases, writing and running analysis code, and drafting reports. Training uses each team's own datasets and questions, and covers how to check the output and when human judgment is required.
Approach
Computational work is only useful when it changes what happens next in the lab or the deal room. Every project is built toward that point.
Start from the biology and the decision at stake: the target, the program, or the workflow.
Generative design, structure prediction, AI-assisted research, or automation, matched to the problem.
Turn computational output into testable candidates and a plan your team can run.
Findings arrive with their sources and reasoning, so your team can verify them and build on them.
Founder
I am a protein engineer and the founder of Bioinference. My work sits where computational design meets experimental validation, from discovery platforms to IND-enabling programs.
National Cancer Institute
Eight years of research before moving into industry, with many publications in microbiology and molecular biology fields.
Jecho Lab
Built the antibody discovery and protein engineering program from the ground up, including naïve phage display libraries and bispecific T-cell engager platforms. The work supported two IND submissions, three technology transfers, and multiple patents.
Arcellx
Founded the company's machine learning and in silico protein design capability and led a team of three scientists. Integrated RFdiffusion, ProteinMPNN, AlphaFold, and Rosetta into experimental workflows, discovered binders against targets that had failed conventional phage display, and invented an AND-gated CAR-T logic circuit.
Bioinference
AI-driven protein engineering, scientific diligence, and AI training for biotech companies, investors, and research groups.
Contact
Tell us about your protein engineering, diligence, or AI training needs. A short description of the target, program, or workflow is a great place to start.