
About
Ankit B Patel, Ph.D., holds dual positions as an Assistant Professor at Baylor College of Medicine (Department of Neuroscience) and Rice University (Electrical and Computer Engineering). His research bridges machine learning and computational biology, focusing on deep learning theory and developmental systems biology. He completed his Ph.D. and postdoctoral training at Harvard University and Rice University, respectively.
Education:
- PhD in Applied Mathematics, Harvard University (2008)
- MS in Applied Mathematics, Harvard University (2002)
- AB in Applied Mathematics and Computer Science, Harvard University (2001)
Research Interests: Patel explores probabilistic foundations of deep learning and computational models of biological systems, particularly epithelial tissue organization. His work integrates mathematical theory with experimental biology to understand geometric patterns in proliferating cells and neural network dynamics.
Publications: His recent work includes foundational studies on deep learning theory (arXiv, 2015) and developmental biology (Nature, 2006). Collaborations span interdisciplinary teams at Baylor and Rice, emphasizing computational approaches to biological complexity.
Labs/Teams: Associated with the VIICTR Publications List initiative, though specific lab names are not explicitly stated in the text.
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