Hi! I’m a PhD Candidate in the Computational Nanoelectronics group at ETH Zurich, advised by Prof. Mathieu Luisier. My research interests lie at at the intersection of:
Ab initio and atomistic semiconductor material/device modeling - writing custom simulation codes to capture the operating physics of emerging semiconductor devices, and working with experimental collaborators to iterate between simulated and measured trends
Geometric deep learning for materials modeling - adapting symmetry-preserving Graph Neural Networks (GNN) to learn structure-property mappings of the underlying semiconductor materials at scales otherwise unreachable by Density Functional Theory
High performance scientific computing - accelerating custom, domain-specific simulations codes and machine learning models on GPUs and supercomputers to tackle problem scales of experimental relevance
During my time at ETH so far, I’ve led projects in each of these fields, with results published in domain-specific venues such as ACS Nano, ’SC (SuperComputing), ICML, and Nature Materials. I’ve also supervised three Master’s thesis students who directly contributed to published research, two of whom were awarded the ETH Medals for their work. In 2021, I won an NSERC PhD Fellowship to take with me to any university internationally, which contributed towards funding my early research.
Along with my work at ETH, I’ve done PhD research internships in the areas of semiconductor simulation development (at the Samsung Semiconductor Device Lab, in San Jose, CA) and ML foundation models for materials (at Meta’s Fundamental AI Research (FAIR) - Chemistry team, San Francisco, CA - ongoing). I’ve been able to learn a lot by working on state-of-the art research with teams of PhD researchers and engineers and industry resources at hand.
Over the co-ops/internships and research affiliations held during my undergraduate (at the University of Waterloo) and graduate work, I’ve had the oppourtunity to work with international teams in the States (CA & MA), Canada, Switzerland, and Japan. Before that, I was lucky to grow up in Toronto, Canada, which is one of the most multinational North American hubs. The ability to live and work in these international environments which attract brilliant minds from around the world is one of the greatest advantages of being in research (both at the universities and companies where I’ve worked), and is something I now actively look for.
I’m always excited to collaborate with talented people. I really enjoy having technical discussions about project ideas, learning from others’ expertise, and generally thinking about what we can accomplish together and the concrete impact it can have. So let’s discuss!