|
Hello! I am an Astrophysicist with a strong interest in Data Science. I am a 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.
I am also a Visiting Scholar of the Center for Computational Astrophysics at the Flatiron Institute, a member of the CUNY Astro group, and a Harlow Shapley Visiting Lecturer for the American Astronomical Society. In 2021, I was named one of 13 "Tecnovisionarie" Italian Women in AI by Women&Tech. 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 projects where I used Machine Learning in Astronomy in an episode of "This Week in ML/AI". |
Recent News/Updates
|
News Archive:
August 2020
Back home in New York... it was the best of times, it was the worst of times. Looking forward to going back to the virtual classroom, will be teaching one undergraduate course and one graduate course (my first!) in ML x Physics and Astronomy.
July 2020
The time has come to leave Barcelona, and I have a lot of conflicting emotions, but above all, a lot of gratitude for the people who welcomed me and made me feel at home: Licia Verde and everybody in her research group at UB.
January 2020
I was honored to be one of the committee members for Nicola Bellomo's Ph.D. graduation (advisor: Licia Verde). I learned a lot by reading his thesis, and loved meeting my fellow committee members Paolo Pani and Gianfranco Bertone.
December 2019
Super excited to share that I've signed a contract with Princeton University Press to write a textbook on Machine Learning methods for Physics and Astronomy (or any discipline where the scientific method rules!) I'm scared and excited at the same time. If I say no to an invitation in the next 9 months, please know it's not personal :)
November 2019
My next adventure brings me to my alma mater, Pisa, where I'll give the social dinner talk at the Scientific Data Analysis School at the Scuola Normale. Can't wait to be back, talk and listen science, and see many old friends!
I headed to Milan to give an invited talk and participate in the wonderful conference "The art of measuring galaxy physical parameters. I wasn't able to stay for the whole week, but I learned a lot and came back with a ton of new ideas!
October 2019
Group member Andy Lawler successfully defended his Ph.D. in Statistics. He's my first official graduate! :) Congrats Dr. Andy!
My article (in Italian) about Astronomy and Machine Learning was published in Asimmetrie, the outreach publication of the Italian National Institute of Nuclear Physics, in an issue devoted to data. Give it a read and subscribe to the magazine, it's free!
I gave a seminar at the LPC of Clermont-Ferrand and spent two lovely days discussing science and life with the talented Emille Ishida. What a treat!
September 2019
I just arrived at University of Barcelona for sabbatical! Excited to spend the academic year doing research and to be hosted by the amazing Licia Verde.
July 2019
I have been awarded $5,000 in Google Cloud platform credits! Group member and Ph.D. candidate Andy Lawler and I will use them to deploy several flavors of nested sampling algorithms to do model selection on galaxy star formation histories.
Group member Hashir Qureshi is off to his training apprenticeship at Amazon. Amaz(on)ing!
June/July 2019
I am teaching a summer school and leading a workshop/hackaton series in Machine Learning x Astronomy at the Center for Computational Astrophysics of the Flatiron Institute. All the school materials are on GitHub and lecture recordings are here on the YouTube channel of the Simons Foundation.
June 2019
Group member Harpreet Gaur starts her Data Science internship at Microsoft Research. Woot woot!
Honorary group member Christopher Lovell successfully defended his Ph. D. thesis. Congrats Dr. Lovell! We miss you!
May 2019
I am giving the Physics and Astronomy seminar at the University of Delaware, hosted by the great Federica Bianco.
March 2019
I am honored to be the Keynote speaker for the Finals Round of the New York City Science and Engineering Fair at the American Museum of Natural History.
January 2019
My review paper on Machine Learning in Astronomy is on arxiv and I gave a talk about it at the DarkMachines monthly group meeting.
December 2018
I'm super excited to have been named one of Italy's ``Inspiring 50", the 50 most influential Italian Women in Tech. Read the official press release here or the articles on Wired and Repubblica (in Italian).
I gave a keynote talk titled "Putting the Science in Data Science" at the Chief Data Officer Summit in New York on Dec 12.
November 2018
I gave an invited review on Machine Learning in Astronomy at the IAU meeting "Challenges in Panchromatic Modelling of Galaxies with Next Generation Facilities".
September 2018
I ran a tutorial session at Strata NYC on "Learning Machine Learning with Astronomy Data",
together with City Tech students Hashir Qureshi and Harpreet Gaur and graduate student Andy Lawler.
I talked about my Strata talk and other ongoing projects where I use Machine Learning and Astronomy with Sam Charrington at "This Week in ML/AI". Listen to the podcast here.
August 2020
Back home in New York... it was the best of times, it was the worst of times. Looking forward to going back to the virtual classroom, will be teaching one undergraduate course and one graduate course (my first!) in ML x Physics and Astronomy.
July 2020
The time has come to leave Barcelona, and I have a lot of conflicting emotions, but above all, a lot of gratitude for the people who welcomed me and made me feel at home: Licia Verde and everybody in her research group at UB.
January 2020
I was honored to be one of the committee members for Nicola Bellomo's Ph.D. graduation (advisor: Licia Verde). I learned a lot by reading his thesis, and loved meeting my fellow committee members Paolo Pani and Gianfranco Bertone.
December 2019
Super excited to share that I've signed a contract with Princeton University Press to write a textbook on Machine Learning methods for Physics and Astronomy (or any discipline where the scientific method rules!) I'm scared and excited at the same time. If I say no to an invitation in the next 9 months, please know it's not personal :)
November 2019
My next adventure brings me to my alma mater, Pisa, where I'll give the social dinner talk at the Scientific Data Analysis School at the Scuola Normale. Can't wait to be back, talk and listen science, and see many old friends!
I headed to Milan to give an invited talk and participate in the wonderful conference "The art of measuring galaxy physical parameters. I wasn't able to stay for the whole week, but I learned a lot and came back with a ton of new ideas!
October 2019
Group member Andy Lawler successfully defended his Ph.D. in Statistics. He's my first official graduate! :) Congrats Dr. Andy!
My article (in Italian) about Astronomy and Machine Learning was published in Asimmetrie, the outreach publication of the Italian National Institute of Nuclear Physics, in an issue devoted to data. Give it a read and subscribe to the magazine, it's free!
I gave a seminar at the LPC of Clermont-Ferrand and spent two lovely days discussing science and life with the talented Emille Ishida. What a treat!
September 2019
I just arrived at University of Barcelona for sabbatical! Excited to spend the academic year doing research and to be hosted by the amazing Licia Verde.
July 2019
I have been awarded $5,000 in Google Cloud platform credits! Group member and Ph.D. candidate Andy Lawler and I will use them to deploy several flavors of nested sampling algorithms to do model selection on galaxy star formation histories.
Group member Hashir Qureshi is off to his training apprenticeship at Amazon. Amaz(on)ing!
June/July 2019
I am teaching a summer school and leading a workshop/hackaton series in Machine Learning x Astronomy at the Center for Computational Astrophysics of the Flatiron Institute. All the school materials are on GitHub and lecture recordings are here on the YouTube channel of the Simons Foundation.
June 2019
Group member Harpreet Gaur starts her Data Science internship at Microsoft Research. Woot woot!
Honorary group member Christopher Lovell successfully defended his Ph. D. thesis. Congrats Dr. Lovell! We miss you!
May 2019
I am giving the Physics and Astronomy seminar at the University of Delaware, hosted by the great Federica Bianco.
March 2019
I am honored to be the Keynote speaker for the Finals Round of the New York City Science and Engineering Fair at the American Museum of Natural History.
January 2019
My review paper on Machine Learning in Astronomy is on arxiv and I gave a talk about it at the DarkMachines monthly group meeting.
December 2018
I'm super excited to have been named one of Italy's ``Inspiring 50", the 50 most influential Italian Women in Tech. Read the official press release here or the articles on Wired and Repubblica (in Italian).
I gave a keynote talk titled "Putting the Science in Data Science" at the Chief Data Officer Summit in New York on Dec 12.
November 2018
I gave an invited review on Machine Learning in Astronomy at the IAU meeting "Challenges in Panchromatic Modelling of Galaxies with Next Generation Facilities".
September 2018
I ran a tutorial session at Strata NYC on "Learning Machine Learning with Astronomy Data",
together with City Tech students Hashir Qureshi and Harpreet Gaur and graduate student Andy Lawler.
I talked about my Strata talk and other ongoing projects where I use Machine Learning and Astronomy with Sam Charrington at "This Week in ML/AI". Listen to the podcast here.