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.

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

    Tufts University


  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)