Find Academic Supervisors

Chanda Prescod-WeinsteinView profile

Associate Professor

• Astrophysics
• Theoretical Physics
• Dark Matter
• +3 more

Chanda Prescod-Weinstein is an Associate Professor in the Department of Physics & Astronomy at the University of New Hampshire. Her research focuses on theoretical physics, astrophysics, and dark matter, with particular expertise in neutron star physics, ultralight dark matter dynamics, and multifield inflationary cosmology. She holds a Ph.D. from the University of Waterloo, an M.S. from the University of California-Santa Cruz, and an A.B. from Harvard University. Her work bridges particle physics and astrophysics, addressing questions about dense matter equations of state via neutron star observations, axion-like dark matter simulations, and cosmological structure formation. Recent contributions include developing the NEoST Python package for neutron star studies and analyzing NICER mission data to constrain dense matter properties. Prescod-Weinstein teaches advanced courses such as Astrophysics I, Quantum Mechanics I, and doctoral research seminars. Her research incorporates numerical simulations, Bayesian statistical methods, and observational data from space-based telescopes like NICER and XMM-Newton.

Johannes Røsok EskiltView profile

Researcher

• Cosmic Birefringence
• CMB
• Cosmology
• +3 more

Johannes Røsok Eskilt is a Guest Researcher at the Department of Theoretical Astrophysics, University of Oslo, focusing on cosmic birefringence, cosmology, and dark energy dynamics through projects like Cosmoglobe and BeyondPlanck. Education: M.Sc. in Fundamental Theoretical Physics (2020), Imperial College London; Visiting Student (2018), University of California, Berkeley; M.Tech. in Applied Physics (2019), Norwegian University of Science and Technology. His research explores cosmic topology, isotropic cosmic birefringence, and multifield dark energy models using data from WMAP, Planck, and advanced statistical methods like Bayesian analysis. Recent work emphasizes machine learning applications in manifold classification and end-to-end error propagation in CMB studies. Key awards include the Fulbright Scholarship (2017-2018) and Studforsk Stipend (2016-2017). He contributes to open science initiatives, ensuring reproducibility and data longevity in astrophysical research.

• Applied Mathematics
• Mathematical Modeling
• Continuum Mechanics
• +5 more

Professor Alexander Mielke is a leading applied mathematician at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, with extensive involvement in Germany's premier mathematical research initiatives. His career centers on developing rigorous mathematical frameworks for complex physical phenomena, particularly through leadership roles in major DFG-funded programs including Priority Programmes and Collaborative Research Centers. His research spans critical areas of modern applied mathematics: Multiscale modeling of material behavior Mathematical theory of plasticity and hysteresis Continuum mechanics of multifield systems Pattern formation in coupled differential equations Variational methods for rate-dependent processes Professor Mielke's scientific leadership is demonstrated through his role as speaker of Priority Programme SPP 1095 'Analysis Modeling and Simulation of Multiscale Problems' and Collaborative Research Center SFB 404 'Multifield Problems in Continuum Mechanics'. Currently, he drives research as a participating scientist in the Cluster of Excellence MATH+ and sub-project manager for multiple Collaborative Research Centers, maintaining WIAS's prominence in mathematical research. His work consistently addresses fundamental challenges in connecting microscopic mechanisms to macroscopic material properties. Through the Berlin Mathematical School and MATH+, Professor Mielke actively mentors the next generation of applied mathematicians while securing sustained DFG funding for cutting-edge research. His collaborative approach spans theoretical development, numerical implementation, and physical application, particularly in materials science and engineering contexts.