Hi! I’m a PhD Candidate in the Computational Nanoelectronics group at ETH Zurich, advised by Prof. Mathieu Luisier. In July 2027, I will start as Tenure Track Assistant Professor at MIT, in the departments of Materials Science and Engineering (DMSE) and Electrical Engineering and Computer Science (EECS), through a Schwarzman College of Computing shared position.

My research lies in:

• Ab initio and atomistic semiconductor material/device modeling - writing custom simulation codes to model semiconductor devices by capturing electrical current flow through complex materials and interfaces, and working with experimental collaborators to iterate between simulated and measured trends

• Geometric deep learning for electronic material properties - building symmetry-preserving materials foundation models to learn structure-property mappings of electronic 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, I’ve led projects in each of these areas, with results published in domain-specific venues such as ACS Nano, ’SC (SuperComputing), ICLR, 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) and ML foundation models for materials (at Meta’s Fundamental AI Research (FAIR) - Chemistry team, San Francisco). 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 (Tsukuba). Before that, I was lucky to grow up in Toronto, Canada, which is one of the most multinational hubs in North America. The ability to live and work in these driven 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 prioritize technical rigor, clarity of communication, and impact beyond metrics. If you’re a prospective PhD student interested in working with me: mention my name in your application to MIT’s DMSE or EECS departments. If you’re a master student at ETH: I’m currently not planning to supervise more student projects, but I will always make exceptions for exceptional people.

In general, 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!