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The Team
Hugh Dickinson
 | I work as an astronomy lecturer at the Open University in the UK. Modern scientific instruments can (and do) provide us with abundant data that are both exquisite in their precision and challenging in their analysis. I'm excited by the many ways that human beings and computers can work together to help solve some of the trickiest and most intriguing problems in modern science. |
Dominic Adams
 | I am (currently) a second-year PhD student in Astronomy at the University of Minnesota. A programmer by trade, I now use statistics and machine learning to make sense of the ever-more-colossal data sets being generated by 21st-century astronomy. |
Vihang Mehta
 | I am currently a staff scientist at Caltech/IPAC. I am fascinated by the vast, intricate, complex yet beautiful cosmos. My science interests lie in understanding how our current universe came to be by studying the astrophysics governing how galaxies form and evolve through cosmic time. I go about pursuing these interests with optical and infrared observational astronomy complemented with statistics and modern-day computing. |
Kameswara Bharadwaj Mantha
 | Kameswara is a postdoctoral researcher at the University of Minnesota in Twin Cities with the Zooniverse citizen science platform team, working on developing human-computer optimized, novel deep-learning based anomaly detection frameworks. He is interested in the growth and evolution of galaxies and galaxy collisions (aka. mergers) and their role in the overall growth and development of galaxies over the Universe's history. He also specializes in developing human-computer optimized, novel deep-learning based anomaly detection frameworks and applies them to imaging data from large scale galaxy surveys. |
Jürgen Popp
 | I am a post-graduate research student working on my PhD-project at The Open University in Milton Keynes, UK. I am mostly dealing with galaxy evolution and morphological features in galaxies. For that, I am using modern deep-learning based computer vision techniques. |
