Current Trainees are listed in alphabetical order by last name.
Eve Chase – 2017 Trainee
Eve is a Ph.D. student in the Department of Physics and Astronomy at Northwestern University.
Alex Gurvich – 2017 Trainee
Alex is a Ph.D. student in the Department of Physics and Astronomy at Northwestern University.
He works in the field of galaxy formation, running high resolution hydrodynamic simulations of Milky Way-like galaxies in order to study stellar feedback regulated star formation in galactic disks. He is particularly interested in how bursts of star formation can drive powerful outflows of gas, depleting star forming reservoirs, also known as galactic winds.
He is originally from Austin, Texas and received his Bachelor’s degree in Physics, with a concentration in Astrophysics, from Carnegie Mellon University.
Michael Katz – 2017 Fellow
Jimmy Hyun Jin Kim – 2017 Trainee
Jimmy is a Ph.D. candidate in the Department of Physics and Astronomy at Northwestern University.
He is supervised by Professor David Schwab and has a broad range of research interests encompassing biophysics, neuroscience, information theory, and machine learning.
He received his undergraduate degree from the University of Toronto where he completed the Mathematics and Physics specialist program with a minor in Philosophy.
Alice Lucas – 2016 Fellow
Alice is a Ph.D. graduate student in the Electrical Engineering and Computer Science department at Northwestern University, working in the Image and Video Processing Laboratory.
She recently graduated from the University of Wisconsin-Madison, where she obtained a B.S. in Applied Math, Engineering and Physics along with a Computer Science minor.
Her research interests lie in the field of machine learning and deep learning. More specifically, her work examines the use of deep neural network architectures and probabilistic graphical models as an approach to solving new challenges in image processing and analysis.
Jordan Nelson – 2017 Trainee
Jordan is a Ph.D. candidate in the Department of Chemistry at Northwestern University.
He studies the interaction of molecules with light and magnetic fields. His research relates to applications for organic solar cells, electron spin-based electronics, and quantum cryptography and computing.
Arjun Punjabi – 2016 Fellow
Arjun is a Ph.D. candidate in the Department of Electrical Engineering at Northwestern University.
He is currently a member of the Image and Video Processing Laboratory (IVPL) under the supervision of Prof. Aggelos Katsaggelos, which he joined during his first term at Northwestern. His research interests include computer vision, biomedical signal processing, and machine learning.
Arjun received a Bachelor of Science degree in Electrical Engineering with a focus in Multimedia Signal Processing from Brown University in May of 2015.
Boris Roesler – 2017 Fellow
Boris is a Ph.D. student in Seismology in the Department of Earth and Planetary Science at Northwestern University.
He works on surface waves and investigates the variations of their amplitudes caused by source processes or Earth structure due to near-source or near-receiver scattering, focusing and defocusing due to seismic velocity anomalies along the path of the seismic waves or anisotropy.
Originally from Munich, Germany, he received his Bachelor in Physics from the University of Colima, Mexico, where he was awarded a graduation with honors for his thesis about stealth scalar fields in General Relativity.
Neda Rohani – 2015 Fellow
Neda is a Ph.D. candidate in the Electrical Engineering and Computer Science department, under the mentorship of Professor Aggelos Katsaggelos, at Northwestern University.
She received her Bachelor’s and Master’s degrees in Electrical Engineering from Sharif University of Iran. Her research interests are Machine Learning, Computer Vision, and Signal Processing.
Niharika is a Ph.D. candidate in the Department of Physics and Astronomy, at Northwestern University.
She is primarily interested in modeling the evolutionary pathways to ‘stripped-envelope supernovae’ (Types IIb, Ib, and Ic). A systematic analysis of possible evolutionary channels can be used to build a database recording properties of progenitor sequences. Such a database can aid in expediting classification, progenitor identification in pre-supernova images and further detailed follow-up and study. It will be an important tool in analyzing the wealth of data on the transient sky that will be available in the future with the advent of rapid-cadence big-data telescopes like the LSST.
Niharika is also interested in modeling the evolution of binary star systems to investigate the channels and mechanisms governing X-ray binaries and binary compact objects. In the past, she has worked on a wide range of topics from re-ioninzation to galaxy evolution.
View Niharika’s website.
Vivian Tang – 2016 Fellow
Vivian is a Ph.D. student in Department of Earth and Planetary Sciences, at Northwestern University.
Her work involves investigating deep Earth’s structure beneath East Asia by seismological and geophysical methods. She is originally from Taiwan and received her Master’s degree in Geosciences from National Taiwan University.
Vicky is a Ph.D. candidate in the Department of Applied Mathematics at Northwestern University.
She works on mathematical models applied to social systems. Some topics of her work include crime in cities and dynamics of political elections. She received her undergraduate degrees from Worcester Polytechnic Institute, in both Mathematical Sciences and Physics.
Michael Zevin – 2016 Fellow
Mike is a Ph.D. student in the Department of Physics and Astronomy at Northwestern University.
He is part of the LIGO Scientific Collaboration and has multiple research interests in gravitational wave astrophysics ranging from LIGO detector data analysis to source formation channels of gravitational wave events.
He is originally from the southwest suburbs of Chicago and received undergraduate degrees in Astronomy, Physics, and Music Performance from the University of Illinois at Urbana-Champaign.