I'm a fifth year PhD candidate in the Joint Carnegie Mellon - University of Pittsburgh PhD program in Computational Biology where I am advised by David Koes. I will be defending in February 2026 and am interested in research scientist roles after graduation. I am broadly interested in machine learning methods for molecular discovery. My PhD thesis is focused on developing deep generative models for structure-based drug design.
PhD Candidate in Computational Biology. Geometric deep learning for structure-based drug design. Deep generative models.
- PIttsburgh, PA
- iandunn.io
- @ian_dunn_
- @ian-dunn.bsky.social
- in/dunn-ian
Highlights
- Pro
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eflynn8/pharmacophore-diffusion
eflynn8/pharmacophore-diffusion PublicPharmacoForge: Generates pharmacophores conditioned on a protein pocket using a diffusion model
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isayevlab/geom-drugs-3dgen-evaluation
isayevlab/geom-drugs-3dgen-evaluation PublicA refined evaluation pipeline for 3D molecular generative models trained on GEOM-Drugs.
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keypoint-diffusion
keypoint-diffusion PublicA diffusion model for structure-based drug design with faster inference from learned representations of protein structure.
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