About Me
I am a third year PhD student in the Joint Carnegie Mellon/University of Pittsburgh program for Computational Biology. I am working in Prof David Ryan Koes’s lab.
Research Interests:
- Drug Discovery
- Deep Learning
- Structural Biology
- Metric Learning
- Self-Supervised Learning
I graduated from Purdue University with honors in 2019 with a double major in Physics and Mathematics.
Other Interests
When I am not doing research I enjoy cooking, baking, and fermenting (Checkout my Cookbook). My other time is spent outdoors enjoying nature while climbing, hiking, and camping.
Papers and Talks
A list of the published papers and conference talks that I have given.
For a more up to date list, check out my Google Scholar page.
Improving 𝚫𝚫G Predictions with a Multitask Convolutional Siamese Network
Andrew McNutt, David Ryan Koes
Link to PaperIntegrated cytometry with machine learning applied to high-content imaging of human kidney tissue for in-situ cell classification and neighborhood analysis
Seth Winfree, Andrew McNutt, Suraj Khochare, Tyler J. Borgard, Daria Barwinska, Angela R. Sabo, Michael J. Ferkowicz, James C. Williams Jr, James E. Lingeman, Connor J Gulbronson, Katherine J. Kelly, Timothy A. Sutton, Pierre C. Dagher, Michael T. Eadon, Kenneth W. Dunn and Tarek M. El-Achkar
Link to PaperExploring 𝚫𝚫G prediction with Siamese Networks
Andrew McNutt, David Koes
Link to TalkGNINA 1.0: Molecular docking with deep learning
Andrew McNutt, Paul Francoeur, Rishal Aggarwal, Tomohide Masuda, Rocco Meli, Matthew Ragoza, Jocelyn Sunseri, David Koes
Link to Paper Link to TalkIn situ classification of cell types in human kidney tissue using 3D nuclear staining
Andre Woloshuk, Suraj Khochare, Aljohara F Almulhim, Andrew McNutt, Dawson Dean, Daria Barwinska, Michael J Ferkowicz, Michael T Eadon, Katherine J Kelly, Kenneth W Dunn, Mohammad A Hasan, Tarek M El‐Achkar, Seth Winfree
Link to PaperComparison of Supervised Machine Learning and Probabilistic Approaches for Record Linkage
Andrew McNutt, Shaun J Grannis, Na Bo, Huiping Xu, Suranga N Kasthurirathne
Education & Experience
-
PhD Student in Koes Lab
Aug 2019 - Present -
Student Research Assistant - Center for Biomedical Informatics
Neural Networks Hyperparameter OptimizationSummer 2019 -
Student Intern
Clustering Dimensionality Reduction GithubSummer 2018 -
Indiana University O'Brien Student Intern
JavaSummer 2017 -
Undergraduate Research Assistant - Department of Medicinal Chemistry & Molecular Pharmacology
Molecular Dynamics Machine Learning2017 - 2019 -
B.S. Physics & Mathematics
Minor in Chemistry2015 - 2019