 Charles Brown
Contact: Charles Brown (charles.d.brown@yale.edu)
Website: https://physics.yale.edu/people/keith-baker
Quantum Simulation of Quasicrystals
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 Helen Caines
Contact: Helen Caines (helen.caines@yale.edu)
Website: https://wlab.yale.edu/research/relativistic-heavy-ions
The first set of studies are analyses that focus on measurements that aim to deepen our understanding the properties of the hot and dense matter created when ultra-relativistic heavy-ions are collided. The second set can be hardware or software focused and will assist with our detector development studies for the future electron-ion collider.
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 Meng Cheng
Contact: Meng Cheng (m.cheng@yale.edu"> m.cheng@yale.edu)
Website: https://meng-cheng.github.io/
Entanglement entropy and defect in quantum many-body systems Phases and phase transitions in open quantum systems.
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 Steven Girvin
Contact: Steven Girvin ( steven.girvin@yale.edu)
Website: https://girvin.sites.yale.edu/
Learning about circuit quantum electrodynamics–the quantum mechanics of superconducting microwave circuits and superconducting qubits.
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 Walter Goldberger
Contact: Walter Goldberger ( walter.goldberger@yale.edu)
Website: https://het.yale.edu
I would be happy to meet regularly with an undergraduate or two to do some directed reading in theoretical physics.
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 Laura Havener
Contact: Laura Havener ( laura.havener@yale.edu)
Website: https://rhig.physics.yale.edu/
We have various hardware R&D projects in the group related to preparing for the future Electron-Ion Collider.
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 Karsten Heeger
Contact: Karsten Heeger (karsten.heeger@yale.edu)
Website: https://heegerlab.yale.edu
Sensitivity calculations for the Project 8 neutrino mass experiment
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 Steven Konezny
Contact: Steven Konezny ( steven.konezny@yale.edu)
Website: https://konezny.sites.yale.edu/
I have 3 research projects that are focused on fabrication, measurement, and/or theory, depending on student interest and experience.
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 Christopher Lynn
Contact: Christopher Lynn ( christopher.lynn@yale.edu)
Website: https://lynnlab.yale.edu/
In-lab and remote opportunities
We are interested in understanding how structure and function emerge in complex living systems, particularly the brain.
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 Simon Mochrie
Contact: Simon Mochrie ( simon.mochrie@yale.edu)
Website: https://mochrielab.yale.edu/
To computationally explore a simple model of the chromatin polymer to investigate how its polymer properties, such as its persistence length and compaction (number of base pairs per contour length) depend on nucleosome occupancy, spacing, and disorder.
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 David Moore
Contact: David Moore ( david.c.moore@yale.edu)
Website: https://campuspress.yale.edu/moorelab/
We have projects aiming to test fundamental physics at the precision frontier of nuclear and particle physics.
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 Ian Moult
Contact: Ian Moult ( ian.moult@yale.edu)
Website: https://physics.yale.edu/people/ian-moult
We have projects aiming to test fundamental physics at the precision frontier of nuclear and particle physics.
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 Daisuke Nagai
Contact: Daisuke Nagai ( daisuke.nagai@yale.edu)
Website: http://www.astro.yale.edu/nagai/
Cosmology with Fast Radio Bursts.
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 Nir Navon
Contact: Nir Navon ( nir.navon@yale.edu)
Website: https://uqm.yale.edu/
Projects in Ultracold Quantum Matter.
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 Corey O’Hern
Contact: Sam Banks ( sam.banks@yale.edu) or Naomi Brandt (naomi.brandt@yale.edu)
Website: http://jamming.research.yale.edu
Potential summer research projects include developing a computational model of lobe formation in 2D and 3D, simulating mechanical tests of tissues with lobed cells, and analyzing a cross-species dataset to quantify trends in lobed geometry..
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 David Poland
Contact: David Poland ( david.poland@yale.edu)
Website: https://het.yale.edu/
My research relates to the study of conformal field theories, which are quantum or statistical systems which have a symmetry under zooming in or out. These mathematical structures describe the physics of continuous phase transitions. I’m open to supervising research or directed reading projects in this area for motivated students.
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 John Sous
Contact: Jeffrey Wei ( Jeffrey.wei@yale.edu)
Website: https://sous.yale.edu/profile/john-sous
Physics of Machine Learning.
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