Primary Investigator
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Dr. Yi-Ting Hsu
Assistant Professor in Physics
CV. google scholar. yhsu2@nd.edu
NSF CAREER award 2023-2028
DOE Experiment-Theory collaborative grant 2023-2026
Postdoctoral researchers
Dr. Hyeok Jun Yang
Notre Dame Society of Science Fellow (2023-2025)
I'm interested in theoretical understanding of strongly correlated materials, especially Quantum magnetism, Kagome superconductor, and Transition metal dichalcogenides. Besides physics, I enjoy cycling, cardio, watching movies and recently learning to cook!
Dr. Tzu-Chi Hsieh
I am currently interested in thermoelectric effects in superconductors and machine learning applications in physics. Outside of research, I enjoy playing badminton, hiking, and drinking boba tea.
Graduate Students
Shih-Chuan (Robert) Lien
Notre Dame MS&E Program fellowship
Few-layer Van der Waals systems, topological invariants in interacting systems.
Motto: People who take cold showers are impervious to rain.
Anisa Sadeghi
My current research explores the experimental signatures of unconventional superconductors. In my free time, I enjoy swimming, reading, and watching movies.
Ruoyang Cui
I utilize both analytical and numerical tools to study quantum geometry in symmetry broken phases.
Besides condensed matter, I like playing badminton, playing with model trucks, and especially lying in bed in a daze.
Co-superviser: Prof. Edwin Huang (Notre Dame Physics & Astronomy)
Kota Yoshimura
Topological superconductors
Co-supervised with Prof. Badih Assaf (Notre Dame Physics & Astronomy)
Cássio Cristani
Machine-learning in Physics program between UCSC, Italy and Notre Dame
Co-supervised with Prof. Barbierato Enrico (Computer Science, Università Cattolica del Sacro Cuore, Italy)
Research assistants
Colin Beveridge
I am interested in the intersection between advanced computing techniques and scientific research. I am also a huge Philadelphia sports fan. Go birds!
Specific research topics: Manybody localization transitions in interacting quasiperiodic chains; Non-Hermitian systems; supervised and unsupervised Machine learning methods.
Former members
Juan Granieri (ND senior--> Graduate student at UIUC)
Anya Johnson (2024 REU, undergraduate at )
Min Guo (2023 REU, Undergraduate at Bowdoin College --> Graduate student at Arizona State U starting Fall 2024)
Anneliese Wickson (Notre Dame, Junior)
Kathleen Hart (ND senior--> Graduate student at U of Toronto)
Eli Wrinn (Notre Dame undergraduate)
Will Hanstedt (2022 REU, Undergraduate at Grinnell College)
Max Niebur (2022 NURF, Undergraduate at Johns Hopkins University)
Mike Smith (--> Postdoc at Argonne national lab)
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