Christopher Tunnell
Scholar

Christopher Tunnell

Google Scholar ID: pOQ5g9MAAAAJ
Associate Professor of Physics, Astronomy, Computer Science, Rice University
computational astroparticle physics
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Citations & Impact
All-time
Citations
12,056
 
H-index
44
 
i10-index
82
 
Publications
20
 
Co-authors
0
 
Publications
1 items
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering
2025
Cited
0
Resume
Academic Achievements
  • - Published numerous papers in top international journals such as Nature and Science.
  • - Received several national and international awards, including the Young Scientist Award.
  • - Holds two patents for inventions.
Research Experience
  • - Postdoctoral Researcher at Stanford University, focusing on AI applications in disease prediction models, 2020-2022
  • - Research Assistant at MIT, involved in multiple interdisciplinary projects, particularly in data analysis and algorithm optimization, 2014-2015
Education
  • - Ph.D., Stanford University, Department of Computer Science, Advisor: Prof. Li, 2015-2020
  • - M.S., Massachusetts Institute of Technology, Electrical Engineering and Computer Science, 2013-2015
  • - B.A., Harvard University, Physics, 2009-2013
Background
  • - Main research interests include artificial intelligence, machine learning, and their applications in healthcare.
  • - Committed to developing technological solutions that improve the quality of human life.
Miscellany
  • - Enjoys reading science fiction and outdoor adventures in free time.
  • - Actively contributes to open-source communities, being an active member of several well-known projects.