Neil Gaikwad, a PhD student in the Media Lab's Space Enabled research group, has received the GSC Graduate Teaching Award, an Institute Award presented annually to one MIT professor or teaching assistant from each school for excellence in teaching a graduate-level course.
Neil specializes in human-centered machine learning and social computing for sustainability. He develops human-machine collaboration algorithms, social computing systems, and mechanisms to study, model, and (re-) design socio-technical systems to balance economic, social, and environmental needs for sustainable development, analyzing large-scale datasets emerging from social processes, Earth remote sensing satellites, and socio-economic interactions. He earned a master's degree from the School of Computer Science at Carnegie Mellon University, where he worked at the Robotics Institute.
Neil was the teaching assistant as well as the R Programming and Reproducible Research Lab Instructor for the MAS S61 Quantitative (Computational) Social Science Research Methods class. His commitment to achievement of students as well as excellence in teaching and mentoring was recognized by students, faculties, and colleagues at MIT.
The achievement was celebrated at the MIT Awards Convocation 2018, which honored MIT students, faculty, staff, and community members who have made outstanding contributions to the shared life of the Institute.