The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. Lunch will be served. These events are open to the public, but we request that all who plan to attend register via Sessions in advance. Planned sessions will be canceled if no one signs up to present. If […]
Anoushka Bhutani (Mechanical Engineering and Scientific Computing)
Nicholas Amano (Materials Science and Engineering and Scientific Computing)
Nicholas David (Materials Science and Engineering and Scientific Computing)
Xiangeng Fang (Biostatistics and Scientific Computing)
Tasmine Clement (Biostatistics and Scientific Computing)
Yifan Zheng (Clinical Pharmacy Translational Science and Scientific Computing)
Gunwoo Yong (Civil Engineering and Scientific Computing)
Sam Cochran (Applied Mathematics and Scientific Computing)
Munkhorgil Wang (Chemistry and Scientific Computing)
Michael Garner (Electrical and Computer Engineering and Scientific Computing)
Yanjun Lyu (Materials Science and Engineering and Scientific Computing)
#SciFM27 will focus on how foundation models and agentic AI are opening a new frontier for scientific innovation, one that demands capabilities beyond those built for general-purpose language and consumer applications. Scientific AI must reason across equations, code, simulations, and experimental and observational data; integrate multiple modalities; interact with specialized tools, instruments, and computational systems; […]
#SciFM27 will focus on how foundation models and agentic AI are opening a new frontier for scientific innovation, one that demands capabilities beyond those built for general-purpose language and consumer applications. Scientific AI must reason across equations, code, simulations, and experimental and observational data; integrate multiple modalities; interact with specialized tools, instruments, and computational systems; […]
#SciFM27 will focus on how foundation models and agentic AI are opening a new frontier for scientific innovation, one that demands capabilities beyond those built for general-purpose language and consumer applications. Scientific AI must reason across equations, code, simulations, and experimental and observational data; integrate multiple modalities; interact with specialized tools, instruments, and computational systems; […]