Scientific Machine Learning (SciML) Summer School 2025
May 12 @ 8:00 am – May 16 @ 5:00 pm
Location: Texas A&M University, Blocker Building, Room 102
This free five-day summer school is designed to introduce graduate students to the fundamentals of Physics-Informed Neural Networks (PINNs) and Scientific Machine Learning (SciML). The first three days will focus on foundational concepts in PINNs, structured into morning theory sessions followed by afternoon hands-on tutorial sessions to reinforce practical understanding. The final two days will feature invited speakers who will present their research on SciML, showcasing its applications across various domains.
Tentative Agenda:
| DAY | ACTIVITY |
| Monday (May 12) | Morning Session: Introduction to SciML and Differentiable Modeling (Lecture) Afternoon Session: Introduction to HPRC and ML (Hands-On) |
| Tuesday (May 13 | Morning Session: Solving ordinary differential equations (ODEs), Traditional vs SciML Methods Afternoon Session: Hands-on practice with ODEs |
| Wednesday (May 14) | Morning Session: Solving partial differential equations (PDEs) Afternoon Session: Hands-on practice with PDEs |
| Thursday (May 15) | Invited Guest Speakers 9:10 – 10:10 AM — Lifan Wang 10:20 – 11:20 AM — Jonathan Siegel 11: 30 AM – 12:30 PM — Andreas Mang 1:40 – 2:40 PM — Andrea Bonito 2:50 – 3:50 PM — Ulisses Braga-Neto 4:00 – 5:00 PM — Thomas O’Leary-Roseberry, UT Austin |
| Friday (May 16) | Invited Guest Speakers 9:10 – 10: 10 AM — Raymundo Arroyave 10:20 – 11: 20 AM — Nicolas Charon 11:30 AM – 12: 30 PM — Eduardo Gildin 1:00 – 3:00 PM — Poster Session and Networking Event |
Guest Speakers
- Jonathan Siegel, Assistant Professor, Mathematics, Texas A&M University
- Lifan Wang, Professor, Physics & Astronomy, Texas A&M University
- Raymundo Arroyave, Professor, Materials Science & Engineering, Texas A&M University
- Andrea Bonito, Professor, Mathematics, Texas A&M University
- Eduardo Gildin, Professor, Petroleum Engineering, Texas A&M University
- Andreas Mang, Associate Professor, Mathematics, University of Houston
- Ulisses Braga-Neto, Professor, Electrical & Computer Engineering, Texas A&M University
- Thomas O’Leary-Roseberry, Research Associate, University of Texas Austin
- Nicolas Charon, Assistant Professor, University of Houston
Event Organizers
- Debasish Mishra, Senior Data Science Ambassador, Biological and Agricultural Engineering, College of Agriculture and Life Sciences; debmishra@tamu.edu
- Ming Zhong, Assistant Professor, Mathematics, University of Houston; mzhong4@uh.edu
- Xingzhuo Chen, Postdoctoral Research Associate, TAMIDS SciML Lab;
chenxingzhuo@tamu.edu - Drew Casey, Assistant Director for Program Engagement, TAMIDS; drew.casey@tamu.edu
Registration Details
To promote engagement between instructors and participating graduate students, the cohort size will be limited to 40 students selected from the pool of workshop applicants. The registration deadline is April 7, 2025, at 11:59 PM. Late submissions will not be accepted.
Please read the application instructions before applying.
This workshop is possible due to the generous contributions from the Los Alamos National Lab and the NASA-DEAP Institute in Research and Education for Science Translation via Low-Resource Neural Machine Translation award (Project Number: 80NSSC22KM0052) and the collaboration of Prairie View A&M University (PVAMU), Texas Southern University (TSU), and Texas A&M University (TAMU).