Alex C. Morehead
Ph.D. Candidate in Machine Learning & Computational Biology @Mizzou
About
Welcome!
I am a Computer Science Ph.D. candidate at the University of Missouri. I work as a graduate research assistant in Dr. Jianlin Cheng’s Bioinformatics & Machine Learning Lab. Prior to my Ph.D., I completed my B.S. in Computer Science at Missouri Western State University. My interests in computer science and machine learning began through many fun experiences building and experimenting with bleeding-edge software early on, and competing in mathematics Olympiads in high school.
Research
My current research interests include machine learning, deep learning, computational biology, and generative modeling. In particular, I have developed new geometric graph neural network architectures such as GCPNet and the Geometric Transformer for modeling biomolecules of various sizes (e.g., proteins), introduced GCDM for diffusion generative modeling of 3D molecules, and assembled PoseBench, the first deep learning benchmark for practical protein-ligand docking.
Writing
I enjoy sharing thoughts on literature, research, and applications on my blog.
news
Jul 03, 2024 | One paper accepted by Nature CommsChem |
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Jun 17, 2024 | Two ICML workshop papers selected for spotlight presentations |
Feb 19, 2024 | One paper accepted by Bioinformatics |
Jan 16, 2024 | One paper accepted by ICLR |
Jul 25, 2023 | Published and presented one paper at ISMB |
Jan 20, 2022 | One paper accepted by ICLR |
latest posts
Nov 02, 2024 | Curious characteristics |
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Oct 20, 2024 | What doesn't kill an everything bagel only makes it stronger |
Aug 20, 2024 | Is that a (well-dressed) black swan over there? |