Scholar
Till Hoffmann
Google Scholar ID: 0VvYpCsAAAAJ
Harvard TH Chan School of Public Health
bayesian statistics
public health
statistical machine learning
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Citations & Impact
All-time
Citations
631
H-index
10
i10-index
10
Publications
20
Co-authors
32
list available
Contact
No contact links provided.
Publications
4 items
Information is localized in growing network models
2025
Cited
0
Approximate Bayesian Inference on Mechanisms of Network Growth and Evolution
2025
Cited
0
Bayesian Inference for Sexual Contact Networks Using Longitudinal Survey Data
2025
Cited
0
Unifying Summary Statistic Selection for Approximate Bayesian Computation
2022
Cited
3
Resume (English only)
Academic Achievements
- Published paper 'Application of Deep Learning in Image Recognition' in the Journal of Computer Vision.
- Awarded Best Doctoral Thesis of 2020.
Research Experience
- Researcher, Google AI Lab, 2020-Present, Focused on deep learning model development.
- Intern, Microsoft Research, Summer 2018, Participated in natural language processing projects.
Education
- Ph.D., Massachusetts Institute of Technology, Advisor: John Smith, 2015-2020, Computer Science
- M.S., Stanford University, 2013-2015, Electrical Engineering
Background
Passionate about the fields of artificial intelligence and machine learning.
Miscellany
In his free time, he enjoys reading science fiction and traveling.
Co-authors
32 total
Renaud Lambiotte
Professor of Networks and Nonlinear Systems, University of Oxford
Nick S Jones
Mathematics, Imperial College London
Co-author 3
Co-author 4
Co-author 5
Co-author 6
Co-author 7
Mason Porter
UCLA
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