Alex Morehead

Ph.D. Candidate in Machine Learning & Computational Biology @Mizzou


Welcome! :wave:

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.


My current research interests include machine learning, deep learning, computational biology, and high-performance computing. In particular, I have developed new 3D graph neural network architectures such as the Geometric Transformer for modeling large biomolecules (e.g., proteins) and curated large open-source molecular datasets (e.g., DIPS-Plus).


I enjoy sharing thoughts on Machine Learning research and applications on Twitter and (occasionally) my blog.


Apr 11, 2022 Passed my Ph.D. qualifying exam. Cheers!
Apr 9, 2022 Won 4th place at the 2022 CVPR AI City Challenge, Task 4
Jan 20, 2022 One paper accepted by ICLR :sparkles:
Sep 27, 2021 One paper accepted by IEEE SuperComputing (MLHPC workshop)
Aug 24, 2021 Served as a reviewer for NeurIPS 2021 :sparkles:
Dec 5, 2020 Attended NeurIPS 2020 virtually
Nov 30, 2020 Attended CASP14 virtually
Jun 11, 2020 One paper accepted by AJUR
Nov 9, 2019 One paper accepted by IEEE BigData

selected publications

  1. Low Cost Gunshot Detection using Deep Learning on the Raspberry Pi
    Morehead, Alex, Ogden, Lauren, Magee, Gabe, Hosler, Ryan, White, Bruce, and Mohler, George
    IEEE International Conference on Big Data (Big Data) 2019
  2. Geometric Transformers for Protein Interface Contact Prediction
    Morehead, Alex, Chen, Chen, and Cheng, Jianlin
    International Conference on Learning Representations (ICLR) 2022
  3. Semi-Supervised Graph Learning Meets Dimensionality Reduction
    Morehead, Alex, Chantapakul, Watchanan, and Cheng, Jianlin
    arXiv preprint arXiv:2203.12522 2022
  4. EGR: Equivariant Graph Refinement and Assessment of 3D Protein Complex Structures
    Morehead, Alex, Chen, Xiao, Wu, Tianqi, Liu, Jian, and Cheng, Jianlin
    arXiv e-prints May 2022
  5. DProQ: A Gated-Graph Transformer for Protein Complex Structure Assessment
    Chen, Xiao,  Morehead, Alex, Liu, Jian, and Cheng, Jianlin
    arXiv e-prints May 2022
  6. A deep reinforcement learning approach to reconstructing quaternary structures of protein dimers through self-learning
    Soltanikazemi, Elham, Roy, Raj S., Quadir, Farhan, Giri, Nabin,  Morehead, Alex, and Cheng, Jianlin
    bioRxiv May 2022