Husain Adamji

Husain Adamji

Graduate Student

Massachusetts Institute of Technology

Husain grew up in Dar es Salaam, Tanzania. He received a B.S. in Chemical Engineering from Tufts University in May 2020. As an undergraduate, Husain performed research in Professor Prashant Deshlahra’s group where he studied structure-property relations in next-generation Group III-V semiconductors like GaAsBi using Density Functional Theory (DFT). Following this project, Husain also worked with Professor Deshlahra on the selective oxidative dehydrogenation of propane using nitric oxide as a homogeneous gas-phase catalyst. Husain joined the Kulik group in November 2020 as a Chemical Engineering PhD student and is co-advised by Professor Yuriy Roman. His research focuses on novel inorganic porous catalyst design inspired by biological enzymes.

Interests
  • Computational Chemistry
  • Molecular Design
  • Metal-organic frameworks
Education
  • BS in Chemical Engineering, 2020

    Tufts University

Publications

  1. Leveraging natural language processing to curate the tmCAT, tmPHOTO, tmBIO, and tmSCO datasets of functional transition metal complexes (2024)
  2. Dynamic Charge Distribution as a Key Driver of Catalytic Reactivity in an Artificial Metalloenzyme (2024)
  3. Insights into the catalytic promotion of propylene self-metathesis over silica-supported molybdenum oxide using substituted olefins (2024)
  4. Large-scale Comparison of Fe and Ru Polyolefin C–H Activation Catalysts (2024)
  5. Computational Discovery of Stable Metal-Organic Frameworks for Methane-to-Methanol Catalysis (2023)
  6. Using Computational Chemistry to Reveal Nature's Blueprints for Single-Site Catalysis of C–H Activation (2022)
  7. Machine learning models predict calculation outcomes with the transferability necessary for computational catalysis (2022)