The 2021 MIT Japan Conference will feature presentations by leading MIT faculty in the areas of innovation, energy, business platforms, robotics, space flight, AI/ computer hardware, and life science. It will also include presentations by MIT-related startups in a variety of areas.
The conference this year will be divided into 6 webinars, held on January 21, 22, 28, 29, February 4 and 5 (starting at 9am Tokyo time). Webinars will consist of talks by MIT faculty and MIT startup speakers, with time for Q&A following each faculty talk. Opportunities for one on one meetings with MIT connected startups will be available on February 4th.
Donna Rhodes
Principal Research Scientist in the Sociotechnical Research Center; Director of the Systems Engineering Advancement Research Initiative (SEAri)
Principal Investigator Christine Ortiz
Benedetto Marelli Paul M. Cook Career Development Professor, Assistant Professor of Civil and Environmental Engineering, MIT CEE
Alex Shalek explores how chronic stress reshapes liver cell function and drives tissue dysfunction. Using single-cell multi-omics, spatial transcriptomics, and integrative computational methods, Shalek reveals early changes in hepatocytes that precede disease and demonstrates a new high-throughput platform to discover strategies for improving tissue health and resilience.
Physical neural networks made of analog resistive switching processors are promising platforms for analog computing and for emulating biological synapses. State-of-the-art resistive switches rely on either conductive filament formation or phase change. These processes suffer from poor reproducibility or high energy consumption, respectively. Our work, on one hand, focuses on understanding and controlling the variability of the conductive filament formation in insulating oxide materials. On the other hand, we are innovating alternative synapse designs that rely on a deterministic charge-controlled mechanism, modulated electrochemically in a solid state, and that consists of shuffling the smallest cation, the proton. As typical throughout our research, here, too, we combine experimental synthesis, fabrication, and characterization with first principles-based computational modeling to gain a deep understanding and control of these promising devices.