• Professor of Applied Mathematics
  Division of Applied Mathematics
  Department of Mathematical Sciences
  Stellenbosch University
  South Africa
  
• htouchette[at]sun.ac.za
  htouchet[at]alum.mit.edu
• ORCID profile
• Supporter of the Leiden Manifesto on metric-based research evaluations and the San Francisco Declaration on Research Assessment (DORA)
• Supporter of the Elsevier boycott and pretty soon Springer too. Publish in society journals
  
• Interested in data science and machine learning? See my list of courses and resources

Research

• Stochastic area with Johan du Buisson and Thamu Mnyulwa, published in PRE
• Large deviations in linear diffusions with Johan du Buisson, published in PRE
• Adaptive estimation of large deviations with Francesco Coghi. Featured as Editor's suggestion in PRE
• Anomalous large deviations with Daniel Nickelsen, published in PRE
• Machine learning estimation of large deviations with Jiawei Yan and Grant Rotskoff, published in PRE
• Current fluctuations in nonreversible samplers with Francesco Coghi and Raphael Chetrite, published in PRE
• Current large deviations in reflected diffusions with Emil Mallmin and Johan du Buisson, published in JPA
• Large deviations of reflected diffusions with Johan du Buisson, published in PRE
• Anomalous large deviations with Daniel Nickelsen, published in PRL
• English translation of Harald Cramér's 1938 paper on large deviations

Notes, news, courses, and schools

• The machine learning contributions behind the 2024 Physics Nobel Prize
  Summary | Talk | ICTS News
• Member of the Editorial Board of J. Phys. A (from 2024)
• Member of the Editorial Board of Physical Review E (from 2021)
• Lecture notes on dynamical large deviations for the 2017 FPSP Summer School: arxiv | published version
• Course on Large Deviations in Statistical Physics
• Review on large deviation theory and statistical mechanics: arxiv:0804.0327 | published version
• Lecture notes on large deviation theory: arxiv:1106.4146