Mr. Dhaval Adjodah is currently a senior Ph.D. student at the Massachusetts Institute of Technology (MIT) Media Lab in Boston, Massachusetts. His thesis work is centered around artificial intelligence (AI), computational social science and finance. Prior to joining the Media Lab, he worked in international finance.
Mr. Adjodah was born in Curepipe, Mauritius, and attended Royal College Curepipe secondary school. He received his Bachelors of Science in Physics at MIT and holds a Masters of Science in Technology Policy, also from MIT.
Mr. Adjodah is interested in understanding how to optimally organize networks of human and AI agents, and how large groups of people can sense new information, and take action collectively. His work is relevant to improving deep reinforcement learning algorithms, improving financial trading, rewiring collaboration networks, crowd-sourcing, voting, and innovation.
Mr. Adjodah has helped design the provision of mental health care for the US Army, modeled the patient pipeline for the US Veterans Health Administration, and created prediction models for tuberculosis for Partners in Health in Malawi. He wants to provide his analytical and systems engineering skills in giving back to his home country to help improve health behavior in Mauritius through the 5-2035 vision and the GFCH.
Mr. Adjodah currently lives in Cambridge, Massachusetts. He greatly enjoys cooking and running. Mr. Dhaval Adjodah is currently a senior Ph.D. student at the Massachusetts Institute of Technology (MIT) Media Lab in Boston, Massachusetts. His thesis work is centered around artificial intelligence (AI), computational social science and finance. Prior to joining the Media Lab, he worked in international finance.
Mr. Adjodah was born in Curepipe, Mauritius, and attended Royal College Curepipe secondary school. He received his Bachelors of Science in Physics at MIT and holds a Masters of Science in Technology Policy, also from MIT.
Mr. Adjodah is interested in understanding how to optimally organize networks of human and AI agents, and how large groups of people can sense new information, and take action collectively. His work is relevant to improving deep reinforcement learning algorithms, improving financial trading, rewiring collaboration networks, crowd-sourcing, voting, and innovation.
Mr. Adjodah has helped design the provision of mental health care for the US Army, modeled the patient pipeline for the US Veterans Health Administration, and created prediction models for tuberculosis for Partners in Health in Malawi. He wants to provide his analytical and systems engineering skills in giving back to his home country to help improve health behavior in Mauritius through the 5-2035 vision and the GFCH.
Mr. Adjodah currently lives in Cambridge, Massachusetts. He greatly enjoys cooking and running.