# Ambuj Tewari > American machine learning scientist **Wikidata**: [Q90765210](https://www.wikidata.org/wiki/Q90765210) **Source**: https://4ort.xyz/entity/ambuj-tewari ## Summary Ambuj Tewari is an American machine learning scientist specializing in online learning, bandit problems, and reinforcement learning. He is currently a professor at the University of Michigan and was named a Fellow of the Institute of Mathematical Statistics in 2022 for his contributions to the intersection of statistics and machine learning. ## Biography - Born: [Not specified] - Nationality: United States, India - Education: - Bachelor of Technology, Indian Institute of Technology Kanpur (1998–2002) - Master of Arts, University of California, Berkeley (2002–2005) - Doctor of Philosophy, University of California, Berkeley (2002–2007) - Known for: Research in online learning, bandit algorithms, and reinforcement learning. - Employer(s): - Toyota Technological Institute at Chicago (2008–2010) - University of Texas at Austin (2010–2012) - University of Michigan (2012–2017, 2021–present) - Field(s): Machine learning, statistics ## Contributions Ambuj Tewari has made significant contributions to machine learning, particularly in online learning and bandit problems. His research has focused on developing algorithms that enable machines to learn from data in real-time, a critical area for applications in mobile health and precision medicine. He has published extensively in peer-reviewed journals and conferences, including work on adaptive learning systems and reinforcement learning frameworks. As a professor at the University of Michigan, he has mentored doctoral students and contributed to the academic community through his teaching and research. ## FAQs ### Q: What is Ambuj Tewari known for? A: Ambuj Tewari is known for his research in online learning, bandit problems, and reinforcement learning, particularly in applications like mobile health and precision medicine. ### Q: Where did Ambuj Tewari earn his PhD? A: Ambuj Tewari earned his Doctor of Philosophy from the University of California, Berkeley in 2007. ### Q: What awards has Ambuj Tewari received? A: Ambuj Tewari was named a Fellow of the Institute of Mathematical Statistics in 2022 for his contributions to the intersection of statistics and machine learning. ### Q: What institutions has Ambuj Tewari worked at? A: Ambuj Tewari has worked at Toyota Technological Institute at Chicago, the University of Texas at Austin, and the University of Michigan. ### Q: What is Ambuj Tewari's current position? A: Ambuj Tewari is currently a professor at the University of Michigan. ## Why They Matter Ambuj Tewari's work has advanced the field of machine learning by developing algorithms that enable real-time learning and decision-making. His research has applications in mobile health and precision medicine, areas where adaptive learning systems are crucial. As a Fellow of the Institute of Mathematical Statistics, he has contributed to the academic community through his leadership and research. His work has influenced the development of more efficient and effective machine learning models, benefiting industries and researchers alike. ## Notable For - Fellow of the Institute of Mathematical Statistics (2022) - Research in online learning and bandit problems - Contributions to reinforcement learning - Professor at the University of Michigan - Mentorship of doctoral students ## Body ### Education Ambuj Tewari earned his Bachelor of Technology from the Indian Institute of Technology Kanpur (1998–2002), followed by a Master of Arts and Doctor of Philosophy from the University of California, Berkeley (2002–2007). His doctoral advisor was Peter Leslie Bartlett. ### Career Tewari began his academic career at the Toyota Technological Institute at Chicago (2008–2010) before joining the University of Texas at Austin (2010–2012). He then served as an associate professor at the University of Michigan (2017–2021) before returning to the role of professor in 2021. ### Research Tewari's research focuses on online learning, bandit problems, and reinforcement learning. He has published extensively in these areas, contributing to the development of adaptive learning systems. His work has been recognized by the Institute of Mathematical Statistics, which named him a Fellow in 2022. ### Mentorship As a professor at the University of Michigan, Tewari has mentored doctoral students, including Mohamad Kazem Shirani Faradonbeh, who completed his PhD under his supervision. ### Awards Tewari was awarded the title of Fellow of the Institute of Mathematical Statistics in 2022 for his contributions to the intersection of statistics and machine learning. The citation highlighted his work in online learning, bandit problems, and reinforcement learning, as well as his leadership in mobile health and precision medicine. ## References 1. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-6969-7844/education/1670970) 2. Mathematics Genealogy Project 3. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-6969-7844/education/1670969) 4. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-6969-7844/education/1670965) 5. [Source](https://lsa.umich.edu/stats/people/faculty/tewaria.html) 6. [ORCID Public Data File 2024](https://pub.orcid.org/v3.0/0000-0001-6969-7844/employment/9919266) 7. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-6969-7844/employment/1670975) 8. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-6969-7844/employment/1670974) 9. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-6969-7844/employment/1670972) 10. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-6969-7844/employment/15639283) 11. [Source](https://imstat.org/2022/04/22/2022-ims-fellows-announced/) 12. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-6969-7844/researcher-urls/669885)