About

The DToD Program was created with the recognition that while digital transformation — the combination of the increase massive amount of digital information available on every aspect of human existence with analysis techniques such as Artificial Intelligence/Machine Learning (AI/ML) — has become a staple of multiple sectors of industry and commerce, it has been far less studied and applied to the far-reaching consequences of poverty alleviation, humanitarian assistance, disaster relief, and, more generally, improving outcomes for under-resourced or low-income populations. The training provided by DToD aims to address that gap ensuring that the analytic techniques and algorithms, privacy, fairness, mechanism design, and implementation of digital technology are relevant to under-served populations.

The core training provided by DToD is centered around three key courses. Trainees will additionally participate in workshops and have access to DToD faculty and staff advising. Travel funding support for DToD-themed research internships and fieldwork is also available. A select number of trainees will also receive support in the form of 1-year fellowships, covering their UCB tuition and fees and $34,000 towards their graduate student stipend.

The DToD program is led by:

Matt Podolsky
 is the DToD Program Coordinator and a staff researcher at UC Berkeley. In addition to his work with DToD, he also serves as the Managing Director of Research Technologies for the C3.ai Digital Transformation Institute. Podolsky has extensive experience working on applied research projects in information and communication technologies for development (ICT4D), energy access and monitoring, and cyber-physical systems.

Dr. Yael Perez
 is the Director of Development Engineering at UC Berkeley. Dr. Perez holds a PhD in architecture with a research focus on the impact of digital technologies specifically in developing regions, and previously served as Program Coordinator for the NSF INFEWS: STEM Training for Actionable Research and Global Impact NRT.

Professor Shankar Sastry
 is the Principal Investigator of DToD and the Thomas M. Siebel Professor in Computer Science. He previously served as Faculty Director of the Blum Center for Emerging Economies for 15 years, and as the Development Impact Lab’s Co-Director and PI of Sustainable Development Solutions. Professor Sastry is the Faculty Director of the FHL Center for Enhanced Reality, a Professor of EECS, Bioengineering, and Mechanical Engineering, and the Co-Director of the C3.ai Digital Transformation Institute.

Professor Anil Aswani is an associate professor in industrial engineering and operations research (IEOR) at the University of California, at Berkeley. He received a BS in electrical engineering in 2005 from the University of Michigan, in Ann Arbor, and a PhD in electrical engineering and computer sciences with a designated emphasis in computational and genomic biology in 2010 from the University of California, at Berkeley. He has received an NSF CAREER award through the Operations Engineering program for his work on personalized healthcare, a Hellman Fellowship for his research on food insecurity, and the Leon O. Chua award from Berkeley for outstanding achievement in an area of nonlinear science. His research interests include data-driven decision-making, with particular emphasis on addressing inefficiencies and inequities in health systems and physical infrastructure.

The full list of DToD Faculty can be found here.