Received a planning grant from the NSF Future of Work program titled ‘The Future of Workplace Wellness’ with a highly interdisciplinary team featuring Dosun Shin (Design), Matt Buman (health interventions), Ellen Green (health economist). Grisha Coleman (movement studies), Todd Ingalls (interactive sound). The grant is led by Pavan Turaga (machine learning). Excited to begin work in whatever way is possible in the post-pandemic world.
Happy to report that we just received a gift from Adobe to pursue innovative machine-learning approaches for arts-inspired physics-based image synthesis. Thank you Adobe.
Glad to have been featured by TWIML on their weekly podcast on #machinelearning. I discussed our recent work on enhancing the invariant properties of #neuralnetworks connecting areas as diverse as physics, biomechanics, differential geometry, with a lot of intuition along the way.
Proud to be part of a team to receive a NSF RAPID on graph predictive models for COVID-19 modeling. Led by Gautam Dasarathy (EE), the team additionally includes Doug Cochran (Math), Huan Liu (CS), Patricia Solis (Geography, KER).
Honored to be invited for several talks this spring and summer. SIAM Mathematics of Data Science, DiffCVML workshop in conjunction with CVPR 2020, Math Department Seminar at the University of Notre Dame, and the TGDA@Ohio-State NSF Tripods Institute. Thank you 🙏