Topical Group on Data Science Fellowship
Fellowship in the American Physical Society is a great honor. In accordance with the APS Constitution, "there shall be elected to Fellowship only such Members who have contributed to the advancement of physics by independent, original research or who have rendered some other special service to the cause of the sciences." All APS members are invited to nominate deserving colleagues as potential Fellows of APS.
Rules and eligibility
Nominating a colleague for APS Fellowship is a way to commend them for excellence in physics and their service to the physics community.
To nominate a colleague for APS Fellowship, you and the additional nominating co-sponsor must be active APS members. The colleague you nominate must also be an active APS member.
Process and selection
To nominate a colleague for APS Fellowship, please include the following:
- The nominee's name
- The co-sponsor's name, and email address
- A 300 character suggested citation that does not include the nominee's name, gendered pronouns, or symbols, and begins with, "For..."
- A 2,500 character paragraph expanding on the citation to indicate the originality and significance of the contributions
- A PDF sponsor's recommendation letter
- The co-sponsor's recommendation letter, which must be uploaded by the co-sponsor
- The nominee's curriculum vitae (CV), which must include academic and employment history, professional honors, a list of principal publications only, and other significant contributions to physics
- Optional: Up to two additional PDF letters of support, which must be uploaded by the letter writers
Selection Committee
- Cristiano Fanelli (Chair)
- Benjamin Nachman
- Eun-Ah Kim
- Jihua Chen
- Julie Butler
Recent recipients
Sergei Gleyzer
2024 recipient
For advancing machine learning in collider physics, especially through contributions to common software, community building, and training activities.
Frank Noe
2024 recipient
For the development of machine learning methods for advancing the physical sciences, in particular for the many-body sampling problem and the electronic structure problem.
Boris Kozinsky
2023 recipient
For the development of innovative computational and machine learning methods to study microscopic transport and dynamic phenomena, and for their application to the discovery and understanding of technologically relevant materials for energy storage and conversion.
Tilman Plehn
2023 recipient
For advocating the use of advanced machine learning and data science tools in theoretical work within fundamental physics, as well as for original research in this area.
Jesse Thaler
2022 recipient
For original foundational research contributions, leadership, and mentoring in the area of machine learning for fundamental physics.
APS Honors recognizes and celebrates the accomplishments of the global physics community. Guided by our core values, APS Honors encourages nominations that reflect the full range of talent, distinction, and experience in our field, and supports broad canvassing for professional achievement across diverse backgrounds, perspectives, and expertise.
Nominees for and holders of APS Honors (prizes, awards, and fellowship) and official leadership positions are expected to meet standards of professional conduct and integrity as described in the APS Ethics Standards. Violations of these standards may disqualify people from consideration or lead to revocation of honors or removal from office.