Jehad is a postdoctoral researcher at the Fundamental AI Research (FAIR) team at Meta. His interests lie at the intersection of material science, artificial intelligence, and green energy. He employs computational chemistry, high-throughput experiments, machine learning, and advanced material characterization to discover novel materials aimed at addressing the energy challenges posed by climate change. Previously a Vanier doctoral scholar at the University of Toronto and program director for the Alliance of AI-Accelerated Material Discovery consortium (A3MD), Jehad’s contributions extend beyond academia. He was a member of CERT, a Carbon XPRIZE finalist team, successfully scaling up CO2 conversion to value-added products. In 2023, he was recognized as an Emerging Hydrogen Leader by the Canadian Hydrogen Convention and featured in the Grads-to-Watch list by the University of Toronto. Jehad’s scientific contributions has resulted in over 50 peer-reviewed patents and articles in high-impact journals, including the Nature portfolio, Advanced Materials, Matter, Joule, JACS, and ACS.