2014 WRF and Moore/Sloan Postdoctoral Fellow
Astronomy & Physics, Statistics
Department of Astronomy
Andy Connolly, Astronomy
Magdalena Balazinska, Computer Science & Engineering
Marina Meila, Statistics
Post-doctoral researcher, Argonne National Laboratory, 2010-14
Ph.D., Physics, University of Illinois at Urbana-Champaign, 2010
M.S., Physics, University of Illinois at Urbana-Champaign, 2004
M.S., Physics, Indian Institute of Technology, Kanpur, 2001
B.S., Physics (honors), Presidency College, University of Calcutta, 1999
Rahul Biswas’ research goals are related to quantifying the phenomenology of the late-time acceleration of the expansion of the universe, often described in terms of properties of “dark energy,” the substance assumed to drive this acceleration. Two of the key challenges to cosmological studies of this type are (a) the data tend to be large and low signal-to-noise (b) the incomplete knowledge (obviously rich research frontiers in themselves) of astrophysical objects used to draw cosmological inferences.
Biswas’ research involves constructing and sharpening probes of cosmology using methods of statistical inferences from such large datasets, iterating the models of astrophysical objects used in such inferences by using simulations or data, and accounting for the complications arising from the observational system. He also uses these tools to forecast performance capabilities of a survey, as a step towards optimizing the survey for scientific impact.