@SchmidtFellows | Postdoc @Stanford | Prev @UniofOxford @MRC_LMB @Cambridge_Uni @NucleateHQ || AI+Bio 💻🧫
Joined July 2020
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Our paper on generalizable antibody-antigen binding affinity prediction has been featured on the cover of the August Issue of @NatComputSci! 📔🎉
🚨Our August issue is now live and includes research on antibody-antigen binding, molecular screening for zeolite synthesis, psychological experiments with LLMs, and much more!
nature.com/natcomputsci/volu…
ALT Yellow and orange antibody binding to purple and blue membrane proteins
I am honoured to have been awarded the Corcoran Memorial Prize from @OxfordStats for my DPhil research on ML for antibody design.
The Corcoran Memorial Prize & Lectures are named in memory of Stephen Corcoran, who was a graduate student in the Department of Statistics.
Thank you to the Corcoran family, the Department, Frank Windmeijer, Simon Myers, @gmm, and Beverley Lane for this award and for the wonderful lecture and ceremony! I had the pleasure (and pressure) of speaking after a fantastic talk by @FrankNoeBerlin.
I am beyond grateful to everyone who supported me throughout my DPhil. Charlotte, thank you for being an awesome supervisor and trailblazer – this thesis would not have been possible without you! Thank you to everyone in @OPIGlets for making my DPhil experience so much fun!
Alissa Hummer retweeted
Characterizing AI-designed proteins requires quantitative biochemistry at massive scale. Enter Amplicon/Protein Bead Display (APB-Display), a fully in vitro platform that quantifies Kd's for >100,000 variants in <3 days (preprint link below!) @Stanford_ChEMH @czbiohub (1/n)
Alissa Hummer retweeted
128 double quantum dots, the building blocks that become qubits, tuned automatically across a single silicon chip.
64 devices. No human in the loop.
A future quantum computer needs millions of qubits. Automation isn't optional. It's the only path.
conductorquantum.substack.co…
Alissa Hummer retweeted
NVIDIA cuQuantum and CUDA-Q are making #quantumcomputing more accessible through GPU-accelerated quantum simulations.
Check out how @conductorquant's Coda is enabling the next generation of developers to convert ideas into quantum circuits by harnessing these simulations. ➡️ conductorquantum.substack.co…
Alissa Hummer retweeted
Conductor Quantum: Coda - Natural language quantum computing producthunt.com/products/con… via @producthunt
Alissa Hummer retweeted
Deep learning is cool...but have you tried ✨logistic regression✨?
Using just one round of sorting, these models predict affinity boosts and design nanobodies up to ~2500× better. Great work Steffanie, Eddie & team! 🧠🧬
biorxiv.org/content/10.64898…
Alissa Hummer retweeted
New paper “Proteome-wide model for human disease genetics” is now live at Nature Genetics: rdcu.be/eRu7K
popEVE (pop.evemodel.org) finds the needles in the haystacks of human genetic variation:
Alissa Hummer retweeted
1/ Big news: our third BiTS cohort — focused on the Americas and powered by @coeff_giving — is now open for applications!
You'll design a large-scale coordinated research program and pitch directly to government agencies and philanthropic funders in Spring/Summer 2026. 👇
Alissa Hummer retweeted
Structure - > sequence models have different phylogenetic (and biochemical) preferences than protein language models.
@OllyMCrook
Alissa Hummer retweeted
Assessment of blind 3D structure modeling of #RNA and nucleic acid complexes now out in the #CASP16 special issue, led by @RachaelKretsch. We hope this benchmark, paper, metrics, and expert baselines drive much-needed progress by #CASP17 (May 2026)! doi.org/10.1002/prot.70072
Alissa Hummer retweeted
I am delighted to share this work, led by Miguel Alcantar and done in collaboration with Amgen, on the OrthoRep-driven evolution of computationally designed minibinders. Here, we focus not only on getting to high affinity, but also on mapping sequence-affinity landscapes of diverse evolutionary outcomes. One way we arrive at diverse evolutionary outcomes is through "neutral drift" where we take one binder and diverge it into many by selecting for the maintenance of (but not improvement of) binding. This is very easy to do with OrthoRep because rapid mutation of the binder occurs autonomously. The result is a rich sequence-affinity dataset spanning both a range of sequences and affinities. We are now scaling these approaches, including to antibodies and a broad array of targets, to get the right distribution and volume of data for training generative models for binder design. biorxiv.org/content/10.1101/…
Alissa Hummer retweeted
OpenFold3-preview (OF3p) is out: a sneak peek of our AF3-based structure prediction model. Our aim for OF3 is full AF3-parity for every modality. We now believe we have a clear path towards this goal and are releasing OF3p to enable building in the OF3 ecosystem. More👇
Alissa Hummer retweeted
Announcing our new protein design server evedesign.bio:
• End-to-end protein design for everyone!
• Analyze your generated library interactively and on 3D structures
• Export codon-optimized DNA sequences for experimental testing.
Developed in collaboration between @deboramarks, @thomas_a_hopf, @SteineggerM, Simon d'Oelsnitz, Chris Sander, Artem Gazizov,@haysunny_hi, Milot Mirdita, Sergio Garcia Busto, Jake Reardon
Alissa Hummer retweeted
AI models show promise for accelerating antibody drug discovery but can fall short in testing.
Research from @OPIGlets, published in Nature Computational Science highlights the need for larger, and more diverse datasets for reliable prediction.
👉 tinyurl.com/rzemvhkz
ALT 3D model of an antibody protein with dark and light blue regions showing its Y-shaped structure. Credit: Alissa Hummer
Alissa Hummer retweeted
We're so excited to welcome our 2025 Fellows to Oxford for their first Science Leadership Program convening. And for 2025 Fellow @AlissaHummer, it is a homecoming! Our 2025 Fellows' stories and our Science Leadership Program exemplify our mission. schmidtsciencefellows.org/ne…
Excited to be pivoting from molecules to cells for my Schmidt Science Fellowship, advised by @Prof_Lundberg and @WahChiu1!
I’m looking forward to building ML models that better reflect how molecules & cells look in real life 🔬
We're so excited to welcome our 2025 Fellows to Oxford for their first Science Leadership Program convening. And for 2025 Fellow @AlissaHummer, it is a homecoming! Our 2025 Fellows' stories and our Science Leadership Program exemplify our mission. schmidtsciencefellows.org/ne…