AI and computational design at Antibody Engineering 2026

Dec 13–16, 2026 San Diego, CA ~900 attendees Website

24 organizations at Antibody Engineering 2026 present work in AI & computational design: 14 suppliers and service providers, 5 drug developers and 5 academic, government and non-profit bodies. Between them they bring 24 presentations to the program. Most represented: Amgen (2 on the program), University of Texas at Austin (2 on the program), Nona Biosciences (1 on the program). 13 of them have their own page in this guide. As of Sep 26, 2026.

All 153 organizations at Antibody Engineering 2026 →

Showing 1–17 of 24 organizations

Organization	Antibody Engineering 2026 Attendance
Amgen Thousand Oaks, CA
amgen.com Large pharma Global biopharmaceutical company developing and manufacturing biologic medicines, including bispecific T-cell engagers.	Talk Sun Dec 13 1:00pm–1:15pm Co-Chairs' Remarks: From Discovery to IND: What Matters Most and How to Get it Right Workshop 1: From Discovery to IND: What Matters Most and How to Get it Right · with Xencor Talk Sun Dec 13 1:15pm–1:45pm Developability-Guided Generative Biology for Therapeutic Protein Engineering Designing new therapeutic proteins by computer while checking from the start that they can be made and purified. AI & computational design Talk Sun Dec 13 4:15pm–5:00pm Moderated Panel Discussion with Session Speakers Workshop 1: From Discovery to IND: What Matters Most and How to Get it Right · with Xencor
University of Texas at Austin Austin, TX
utexas.edu Academic Public research university in Austin, Texas.	Talk Mon Dec 14 5:15pm–5:45pm Computational Approaches for Antibody and TCR Modeling Design and Discovery Track 1: Emerging In Vitro Approaches to Antibody Discovery AI & computational design Talk Tue Dec 15 10:30am–11:00am Utilizing Repertoire Mining to Complement In Vivo Antibody Discovery for Antibody Therapeutics Track 1: Advanced In Vivo Approaches to Antibody Discovery
Nona Biosciences
nonabio.com Discovery platformsBronze sponsor Fully human antibody discovery built on its Harbour Mice transgenic platforms for conventional and heavy-chain-only antibodies, offered as integrated discovery services.	Booth Exhibiting at Booth 105 Mon, Dec 144:00pm–4:45pmTue, Dec 159:45am–4:45pm Talk Mon Dec 14 1:45pm–2:15pm Nona Bio Scientific Briefing Sponsored session · Scientific Briefing 2 Antibody discovery Talk Tue Dec 15 11:30am–12:00pm HCAb Harbour Mice® and AI for Next-Generation Therapeutic Antibody Discovery Mice that make human antibodies built from heavy chains alone, screened with computer models to find drug candidates. AI & computational design
Twist Bioscience South San Francisco, CA
twistbioscience.com Reagents & consumablesEvent partner Synthetic DNA company whose biopharma unit provides antibody libraries and antibody discovery and optimization services.	Booth Exhibiting at Booth 201 Mon, Dec 144:00pm–4:45pmTue, Dec 159:45am–4:45pm Talk Mon Dec 14 12:15pm–1:15pm Engineering for Better Bispecifics: Introducing the B-Body® Platform A two-target antibody design meant to assemble reliably, avoiding low yields and hard purification when production scales up. Bispecifics & multispecificsDevelopability & CMC Talk Wed Dec 16 7:30am–8:00am A High-Throughput Ecosystem to Power AI-Driven Antibody Discovery Building large custom variant libraries so computer-designed antibodies can be made and tested in the lab within weeks. Antibody discoveryAI & computational design
MindWalk
mindwalkai.com Software & AIBronze sponsor Formerly ImmunoPrecise Antibodies; combines AI data tools such as LensAI and ReefIQ with wet-lab antibody discovery.	Booth Exhibiting at Booth 400 Mon, Dec 144:00pm–4:45pmTue, Dec 159:45am–4:45pm Talk Mon Dec 14 1:15pm–1:45pm From Fragmented Data to Reasoning Infrastructure: How ReefIQ and LensAI Turn Antibody Discovery Data Into Governed, Computable Biology Linking scattered antibody sequence, structure and assay records so software can reason over them instead of rebuilding the links. AI & computational design
A-Alpha Bio Seattle, WA
aalphabio.com Discovery platforms Measures protein-protein binding at scale with its AlphaSeq platform and uses the data to train models for antibody optimization with partners.	Talk Tue Dec 15 12:35pm–1:05pm Predictive Multi-Objective Antibody Optimization Powered by Millions of Quantitative Affinity Measurements A model trained on millions of binding-strength measurements that predicts how far an antibody can be mutated and still bind. AI & computational designProtein engineering
BigHat Biosciences San Mateo, CA
bighatbio.com Biotech Designs antibody therapeutics with machine learning and a high-throughput wet lab; runs its own pipeline and pharma partnerships.	Talk Tue Dec 15 5:15pm–5:45pm Machine Learning Guided Design of Avidity- and Logic-Gated T Cell Engagers Using machine learning to tune binding strength so T-cell-recruiting antibodies act on diseased cells and spare healthy ones. AI & computational design
Divergence Labs New York, NY
divergencelabs.com Biotech Drug developer combining computational models and lab work to discover medicines, with ophthalmology programs in its pipeline.	Talk Mon Dec 14 3:00pm–3:30pm One-Shot Antibody Design with AI: Are We There Yet? An assessment of how much of computer-designed antibody discovery really works today, and what still does not. AI & computational design
EMD Serono Rockland, MA
emdserono.com Large pharma US and Canadian healthcare business of Merck KGaA, Darmstadt, developing medicines in oncology, neurology and fertility.	Talk Sun Dec 13 1:45pm–2:15pm A Combined Computational and Experimental Cascade for Variable Domain Assessment and Optimization Towards Developable Multispecific Antibodies Splitting a multi-target antibody into its binding pieces and improving each one without losing target binding. AI & computational design
EpiVax Providence, RI
epivax.com Software & AI Offers in silico immunogenicity screening tools and matching human immune assays for antibody and protein therapeutics.	Panel Sun Dec 13 4:15pm–4:45pm Beyond Sequence Prediction: Integrating AI-Driven In Silico Analysis with Human Immune Assays for Antibody Engineering Combining predictions of immune reactions against a drug with tests on human blood cells to design safer antibodies. AI & computational design
Morgan Lewis Philadelphia, PA
morganlewis.com Consulting & services Law firm whose practice includes patents and intellectual property for life sciences companies.	Talk Mon Dec 14 5:45pm–6:15pm Protecting AI-Generated Antibodies — Patent Strategy for a New Era How patent protection can be built for antibodies designed by AI, from sequence differences to functional and experimental evidence. AI & computational design
Paradox Immunotherapeutics Toronto, Canada
paradoximmuno.com Biotech Preclinical company developing antibodies that selectively target misfolded proteins, starting with AL and LECT2 amyloidosis.	Talk Tue Dec 15 5:15pm–5:45pm Beyond the Fold: Turning Protein Misfolding into Antibody Opportunity Antibodies that pick out the misfolded form of a protein and leave the healthy form alone, aimed at amyloid diseases. AI & computational design
Stevens Institute of Technology Hoboken, NJ
stevens.edu Academic Private technological university in Hoboken, New Jersey.	Talk Sun Dec 13 3:15pm–3:45pm Hybrid Molecular Modeling and Machine Learning for Screening Viscosity-Reducing Excipients in Antibody Formulations Combining physics-based models with machine learning to find additives that keep concentrated antibody solutions from becoming too thick. AI & computational design
University College London London, United Kingdom
ucl.ac.uk Academic Public research university in London, United Kingdom.	Talk Wed Dec 16 5:15pm–5:45pm Machine Learning and the Use of Computational-experimental Workflows to Study Antibody Structure-function Relationships Track 2: Engineering Innovative Functionality into Antibody Domains AI & computational design
University of Illinois Urbana-Champaign Urbana, IL
illinois.edu Academic Public research university in Urbana and Champaign, Illinois.	Talk Mon Dec 14 3:30pm–4:00pm High-throughput Re-exploration of Published Influenza Antibodies Machine learning and fast screening reveal where thousands of already-published influenza antibodies bind, since only a fifth have known binding sites. AI & computational design
University of Pittsburgh School of Medicine Pittsburgh, PA
pitt.edu Academic Medical school of the University of Pittsburgh.	Talk Wed Dec 16 8:45am–9:15am From Nanobody Repertoires to Programmable Medicines: Proteomics, AF3-TurboAb, and Multivalent Design Designing small single-domain antibodies using computer models of how they grip their targets, aimed at infections, toxins and cancer. AI & computational design
Amazon Web Services Seattle, WA
aws.amazon.com Software & AIGold sponsor Amazon's cloud computing business; its Amazon Bio Discovery application links AI antibody design models to partner wet-lab synthesis and testing.	Booth Exhibiting (no floor booth listed) Mon, Dec 144:00pm–4:45pmTue, Dec 159:45am–4:45pm Talk Mon Dec 14 12:15pm–1:15pm Amazon Scientific Briefing Sponsored session · Scientific Luncheon Briefing 4