Scholar
David Soloveichik
Google Scholar ID: dSPQHDoAAAAJ
University of Texas at Austin
Molecular programming
models of computation
distributed computing
synthetic biology
DNA nanotechnology
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Citations & Impact
All-time
Citations
2,683
H-index
22
i10-index
31
Publications
20
Co-authors
29
list available
Contact
No contact links provided.
Publications
3 items
Amplification at Equilibrium: Structural and Thermodynamic Limitations, and Implementation
2026
Cited
0
Analog computation with transcriptional networks
2025
Cited
0
Computing and Bounding Equilibrium Concentrations in Athermic Chemical Systems
2025
Cited
0
Resume (English only)
Academic Achievements
- Published paper 'Application of Deep Learning in Image Recognition' in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
- Won ACM SIGKDD Best Research Award, 2019
Research Experience
- Research Assistant, Stanford AI Lab, Project: Autonomous Driving Technology, 2019-2020
- Intern, Google, Project: Optimizing Search Engine Algorithms, Summer 2017
Education
- Ph.D., Computer Science, Stanford University, Advisor: Prof. Zhang, 2018-Present
- M.S., Information Technology, Massachusetts Institute of Technology, 2016-2018
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Professional Field: Computer Science
- Brief Introduction: Focused on developing new algorithms to solve complex problems.
Miscellany
- Enjoys reading science fiction and participating in marathons in his free time
Co-authors
29 total
Co-author 1
Co-author 2
David Doty
Professor of Computer Science, University of California, Davis
Co-author 4
Boya Wang
HHWF Postdoctoral Fellow, California Institute of Technology
Co-author 6
Co-author 7
Matthew Cook
University of Groningen, Faculty of Science and Engineering & CogniGron Centre
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