Our Mission
Located at Purdue University, the Nanophotonics Machine Learning team develops state-of-the-art machine learning algorithms for quantum photonics, measurements, device design, and optimization.
Quantum Optics
In partnership with QuEra Computing and the Quantum Science Center, the NanoML team applies statistical deep learning and optimization for engineering single photon emitters and neutral atoms.
Machine Learning
Physics-inspired AI continues to revolutionize experimental physics by taking faster measurements, finding better device designs, and discovering new physics through statistical inference.
Birck Nanotechnology
The NanoML team is located at Birck Nanotechnology Center, the second-largest university clean room in the U.S.
Meet our Team
Blake Wilson
Founder and Ph.D. Candidate
Alexandra Boltasseva
Founder and Advisor
Alexander Kildishev
Founder and Advisor
Vladimir Shalaev
Founder and Advisor
Yuheng Chen
Team Lead and Ph.D. Student
Vahagn Mkhitaryan
Postdoctoral Fellow
Alexander Senichev
Postdoctoral Fellow
Omer Yesilyurt
Ph.D. Candidate
Vaishnavi Iyer
Research Assistant
Michael Bezick
Research Assistant
Daksh Kumar Singh
Research Assistant
Rohan Malavathu
Research Assistant
Rohan Ojha
Research Assistant
Jaxon Pottle
Research Assistant
Lee Dongeun
Research Assistant
Trang Do
Research Assistant
Geetika Chitturi
Research Assistant
Advay Welling
Research Assistant
Sarthak Tandon
Research Assistant
Frequently Asked Questions
How can I collaborate with the NanoML Team?
We consider collaborations on a case-by-case basis. Please reach out to Blake or Sasha at [email protected] and [email protected] with a CV and proposal to discuss collaborations.
I’m an undergraduate student, how can I start doing research?
Repeat an experiment from literature! Then improve on it in some way. and prove the improvement. That’s it! Easier said than done.
Do you sponsor students for REU’s and SURF?
We regularly post openings for REU’s and SURF. Reach out for more information.
Do you post open-source?
We do! All of our open-source software is available on our Github under the MIT license.