Logan Wright Applied Physics Laboratory

People

Logan G. Wright
Assistant professor of Applied Physics, Yale University
Email: logan.wright[at]yale.edu
Bio: I am interested in the science and art of doing creative research to uncover the mysteries of nature, empower inquisitive minds, and improve the conditions for humans and life more broadly. I love high-dimensional, complex systems, and the physics of computation, information, and lasers. Outside of research, I enjoy science fiction, experimental music, exercise, and spending time with my spouse and our dog.
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Martin Stein
Postdoctoral research scientist
Email: martin.stein[at]yale.edu
Bio: I completed my PhD in optical computing and programmable photonics in Peter McMahon's group at Cornell University. I continue working in these areas, but I am also attempting to broaden my horizons by pursuing a yet-to-be-determined moonshot project. Currently, my explorations include light-controlled self-assembly, 3D additive manufacturing, and innovative optical metrology.

Joe Ferrantini
PhD student in Applied Physics
Email: joseph.ferrantini[at]yale.edu
Bio: I earned my B.S. in physics and B.A. in mathematics from the University at Buffalo, followed by a year learning optics at Brookhaven National Laboratory. I am currently working on a principled "Physical Novelty Search" to automate discovery in complex optical and nonlinear dynamical systems. I aspire to use machine learning and optics to explore ideas from complex systems and statistical physics, and vice versa.

Dongjin Seo
PhD student in Applied Physics
Email: dongjin.seo[at]yale.edu
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Bio: I earned my B.S. and M.S. degrees in Electrical Engineering from the Korea Advanced Institute of Science and Technology (KAIST). My past research focused mainly on designing unprecedented photonic structures using deep learning. Currently, I am deeply interested in exploring deep foundation models for physics and physics-informed artificial intelligence. Throughout my Ph.D., I aim to bridge the gap between data-driven science and fundamental physical principles. Outside of my academic life, I enjoy playing jazz piano and swimming.

Haoyu Wei
PhD student in Applied Physics
Email: haoyu.wei[at]yale.edu
Bio: I graduated from the TEEP undergraduate program at Tsinghua University, learning both science and the spirit of creative research. I am now studying the perspective of statistical physics in complex optical systems. I’m also interested in exploring novel light-matter interactions using methods inspired by physical neural networks. I aspire to serve as an ambassador bridging different fields of physics, and also with the ideas from the information era.
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Jinchen Zhao
PhD student in Applied Physics
Email: jinchen.zhao[at]yale.edu
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Bio: I am interested in various unconventional computing platforms, including optical, quantum, and thermodynamic systems. My research focuses on the role of analog noise in computation at ultra-low energy scales, where stochasticity can be comparable to the signal itself. I am also exploring practical, near-term pathways for scaling unconventional computing toward commercially realizable applications. In my free time, I enjoy tennis, video games, and hanging out with my cat Oreo.

Yuqi Zhao
PhD student in Applied Physics
Email: yuqi.zhao[at]yale.edu
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Bio: I obtained my Bachelor’s degree in Opto-Electronics Information Science and Engineering from Chu Kochen Honors College, Zhejiang University. During my undergraduate studies, I gained research experience in photonic integrated design and machine learning.
Currently, I am pursuing my PhD in Applied Physics at Yale University, focusing on novel programmable waveguide designs. My research interests span computer science, photonics, silicon fabrication, and mechanics.

Ruidi Zhu
PhD student in Applied Physics
Email: ruidi.zhu[at]yale.edu
Bio: I hold a B.A. in Physics from Imperial College London and an M.S. in Applied Mathematics and Theoretical Physics from the University of Cambridge (also known as the Part III program). At Yale, I am working on novel nonlinear quantum optical schemes and their applications in quantum information science. I am also interested in exploring novel light-matter interactions, incorporating methods inspired by physical neural networks and quantum information. I aim to merge my expertise in both experimental and theoretical physics to delve into the fundamental aspects and technological frontiers of quantum physics. Outside the lab, I enjoy playing the piano, cooking, watching soccer games, and traveling the world.

Jay Zou
PhD student in Applied Physics
Email: jay.zou[at]yale.edu
Bio: Originally from Canada, Jay earned his B.A. in Integrated Science, Physics and Astronomy, and M.S. in Electrical Engineering at Northwestern University. At Yale, Jay is working on novel design decomposition and inverse design for analog computing. In his free time, Jay enjoys recreational aviation, outdoors, tango, and playing his flute.
Open positions
If you are interested in joining the lab, either as a PhD student, post-doc, or some other kind of colleague, please see below for some case-specific details.
If you are interested in pursuing a PhD at Yale in our lab:
If you have logistical inquiries about the Yale Applied Physics PhD program, please start here. Beyond that, feel free to reach out to me by email (and ideally include a CV with publication list). Students should apply before the December 15 Yale graduate school deadline.
A bit about what to expect: PhD students should in most cases expect to perform a mixture of experiments and computation, with some theory, and with plenty of discussion, writing, and presentation. Our experiments and prototypes mostly involve optics and photonics, but may also involve other ingredients, such as nano- or macro-scale 3D printing, fluids, acoustics, granular media, and analog electronics. For most projects there will also be a significant component of computer-based work involving, e.g., machine learning, physics-based simulations, and automation of experiments.
The PhD is and should be an individualized process, but let me make some generalizations for the sake of context. PhDs in applied physics generally start with a concrete, challenging project that helps students build up technical mastery over a year or so. Students generally take courses during the first year as well. Building on this, students will then, in collaboration with myself and their colleagues, arrive at a more substantial and original research direction (within the scope of the lab) that will usually serve as the core of their dissertation. This more substantial project will usually involve publishing several papers, and may take an additional 3-6 years. Throughout this process, students will meet both with myself (somewhere from daily to weekly, depending on the context) and their colleagues for ongoing discussion and guidance. Virtually all projects are collaborative in nature, albeit to varying degrees. Ultimately, science is a collective human enterprise, and I view the single highest priority of my research group to be supporting the people within it as they grow as scientists. I expect PhD students and other lab members to maintain a similar prioritization, and, collectively, to facilitate a culture of collaboration and collegiality. Of course, I do not view this prioritization as compromising the lab's realization of important, original, and rigorous science: My experience has always been that the more people feel valued and secure, and the more they are having fun and feeling that their work is important, the better and more original is their science.
PhD students in Yale Applied Physics do not pay their own tuition, and are provided generous cost-of-living stipends, health insurance and other benefits during their PhD studies.
If you are a PhD or near-PhD interested in a post-doc in our lab:
Please contact me by email and we can chat more, including about specific projects or directions. When you get in touch, please include a CV with publication list, and a brief description of your research interests, goals, and/or skills.
For post-doc candidates, I view prior experience with ultrafast lasers, quantum optics, quantum information, and/or neural networks as helpful, but not essential. Please also mention if you have experience in robotics, high-performance computing, 3D printing, fluid dynamics, or acoustics. If you know of postdoctoral fellowships you are eligible for (see, e.g., lists here and here), please also mention these. Although external fellowship support is not always necessary to join our lab, writing a proposal together can be a good way to trial-run collaboration, generate ideas together, and may add a little prestige, independence, or flexibility to one's post-doc.
Visitors or other kinds of collaborators:
Even if you do not fit into one of the categories above, if you're passionate about the topics we work on, there may be ways we can work together, either locally or remotely. Please reach out by email, Twitter, or LinkedIn.
I look forward to doing science together!
- Logan G. Wright
Lab Alumni
Ming Jian, visiting undergraduate student 2024-2025
Ziyu Zhan, visiting PhD student, 2023-2025