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Protein design
PhD students designing de novo protein binders with RFdiffusion-style diffusion models, ProteinMPNN sequence design and AlphaFold-style structure prediction, with open-source code and wet-lab binding validation
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Gene editing
Researchers engineering CRISPR base and prime editors with machine-learned guide RNA design, Cas9 variant engineering and off-target prediction, close to a therapeutics spinout
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Single-cell AI
Single-cell and spatial transcriptomics students (scRNA-seq, Perturb-seq, spatial omics) building foundation models that predict cell state and genetic perturbation response
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Immunoengineering
Computational immunology students designing antibodies and T-cell receptors with protein language models, epitope prediction and developability scoring for affinity maturation
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Neurotech
Students developing closed-loop brain-computer interfaces with high-density neural recordings, spike sorting and low-latency on-device neural decoding
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Drug delivery
Researchers building mRNA therapeutics and ionizable lipid nanoparticle delivery platforms with machine-learning formulation design for tissue-targeted expression
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Nuclear reactors
Students working on nuclear fusion reactors: tokamak plasma physics, magnetic confinement and plasma instabilities
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Self-driving cars
Students building self-driving car autonomy stacks: end-to-end driving policies, multi-sensor perception with lidar and camera fusion, motion forecasting and closed-loop simulation for safety validation
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