The Michigan Institute for Data Science (MIDAS) invites you to kick off the new academic year with us at our annual Welcome-back Social and Faculty Research Pitch. Come and talk with MIDAS affiliate faculty members and others in the U-M data science and AI research community, hear research collaboration opportunities, find out upcoming research and training activities at MIDAS, and discuss how MIDAS can work with you!

For more information and list of speakers, please visit our event page: https://midas.umich.edu/welcome-back-social-and-faculty-research-pitch/

Registration: https://forms.gle/fATqaGoV8tKjjAcY8


Scheduled presentations:
2:30 PM – 3:00 PM

Stacy Rosenbaum, Assistant Professor, Anthropology.
Research area: Evolutionary causes and consequences of social behavior.

Anne Draelos, Assistant Professor, Biomedical Engineering, Computational Medicine and Bioinformatics.
Research area: Real-time machine learning for adaptive neuroscience applications.

Minji Kim, Assistant Professor, Computational Medicine and Bioinformatics.
Research area: Computational 3D genomics.

Cam McLeman, Associate Professor, Mathematics and Applied Sciences.
Research area: Graph-Based Methods, Machine Learning, Mathematical and Statistical Modeling, Networks, Statistics.

Runzi Wang, Assistant Professor, Environment and Sustainability.
Research area: Built environment, landscape architecture, machine learning, stormwater management, stream water quality, urban hydrology.


3:00 PM – 3:30 PM

Yan Chen, Professor, Information.
Research area: Causal inference, data science for social good, experiment design.

Hui Jiang, Professor, Biostatistics.
Research area: Bioinformatics, computational statistics, machine learning, optimization, statistical genomics.

Sean Johnson, Assistant Professor, Astronomy.
Research area: Galaxy evolution, quasars, the circumgalactic medium, the intergalactic medium.

Liang Zhao, Associated research scientist, Climate and Space Science and Engineering.
Research area: Solar wind plasma, heliophysics.

Stella Yu – Professor, Computer Science and Engineering.
Research area: Representation learning with minimal supervision.

Nishil Talati, Assistant Research Scientist, Computer Science and Engineering.
Research area: Hardware-software co-design for efficient and secure data analytics.


3:30 PM – 4:00 PM

Wei Hu, Assistant Professor, Computer Science and Engineering.
Research area: Deep Learning, Representation Learning, machine learning, optimization, theory.

Max Z. Li, Assistant Professor, Aerospace Engineering, Industrial and Operations Engineering.
Research area: Design, management, and optimization of air transportation systems.

Elizabeth Bondi-Kelly, Assistant Professor, Computer Science and Engineering.
Research area: AI for social impact.

Liang Qi, Associate Professor, Materials Science and Engineering.
Research area: Atomistic simulations, computational materials science, machine learning.

Hui Deng, Professor, Physics.
Research area: Deep learning for nanophotonics applications.

Shai Revzen, Associate Professor, Electrical and Computer Engineering.
Research area: Biologically Inspired Robotics and Dynamical Systems.

P.C. Ku, Professor, Electrical and Computer Engineering.
Research area: Optoelectronic devices.

Majdi Radaideh, Assistant Professor, Nuclear Engineering and Radiological Sciences.
Research area: Autonomous Control, Nuclear Reactor Design, Physics-informed Machine Learning, Uncertainty quantification, optimization.