Hello! I am an Astrophysicist with a strong interest in Data Science. I am an Associate Professor in the Physics Department at the CUNY NYC College of Technology and at the CUNY Graduate Center. I teach Astronomy and Machine Learning classes, and currently I'm writing a textbook on Machine Learning techniques for Physics and Astronomy for Princeton University Press. Please get in touch if you have ideas on awesome research problems and data sets I could use, or other suggestions!
I am also an associate member of the Center for Computational Astrophysics at the Flatiron Institute, a visiting research scientist in the Astrophysics Department at the American Museum of Natural History, a member of the CUNY Astro group, and a Harlow Shapley Visiting Lecturer for the American Astronomical Society. In 2020, Wired (Italy) listed me as one of 50 women who are doing the history of Computer Science, which is certainly an exaggeration, but gave me a chance to say what I think about my idea of the ''new" physicist in this interview (original, in Italian, here). In 2018, I was named one of Italy's 50 most influential Women in Tech by InspiringFifty. In 2017, I was a recipient of the Feliks Gross Award for outstanding scholarship. You can check out my Google Scholar profile and read my papers here, or hear about my 2018 Strata talk and other ongoing projects where I use Machine Learning in Astronomy in an episode of "This Week in ML/AI". |
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