Research

Time Domain Astronomy

Our research focuses on explosive transients in the sky, particularly supernovae and their progenitor systems. We develop methods to analyze large datasets from time-domain surveys.

Urban Science

We apply data science methods to urban problems, working on projects ranging from criminal justice to public health and transportation.

Team Members

Principal Investigator

Federica Bianco

Federica Bianco (she/her)

Stirring this boat in all directions. Astrophysicst, Data Scientist.

Current Members

Somayeh Khakpash

Somayeh Khakpash (she/her)

Post Doctoral Researcher

Somayeh works on generating templates for stripped-envelope supernovae using Gaussian Processes.

She is an expert in microlensing and machine learning. She enjoys reading and traveling.

Xiaolong Li

Xiaolong Li (he/him)

PhD Candidate

Xiaolong works on evaluating the performance of LSST's observing strategy and building a platform for the detection of light echoes.

Riley Clarke

Riley Clarke (he/him)

PhD Candidate

Riley works on stellar time-domain data processing and detrending with Principal Component Analysis.

He grew up in Fairbanks, AK and likes biking, hiking, skiing, playing music (trumpet & guitar), and cooking. He also enjoys nerd stuff like video games, anime & manga, science fiction/fantasy, and tabletop role-playing games.

Willow Fox Fortino

Willow Fox Fortino (they/them)

PhD Candidate

Willow works on modeling stripped envelope supernova light curves.

She enjoys playing the guitar with mediocrity, is a beginner pointillism artist, has a small fountain pen and ink collection, and is an amateur lock picker.

Tatiana Cuellar

Tatiana Aceroa Cuellar (she/her)

MSc Candidate

Tatiana works on CNN models to classify transients and discover new Astrophysical Objects.

She is a Colombian physicist that loves animals a lot and because she loves them she doesn't eat them. She is on the way to being a scientist.

Siddharth Chaini

Siddharth Chaini (he/him)

PhD Candidate

Siddharth is finding optimal similarity metrics to classify different astrophysical variables and transients rapidly and accurately.

Shar Daniels

Shar Daniels (they/them)

PhD Candidate

Shar is applying neural networks to continuous readout astronomical images, where one of the spatial axes tracks time, to explore the subsecond astrophysical domain.

Alumni

  • Jendaya Wells - Undergraduate student 2022 - Music (Lincoln University)
  • Ming Lian - 2019-2022 - Astrophysics Graduate student, UDel
  • Sid Patel - 2021 - Astrophysics Undergraduate student, UDel
  • Ghihane Racid - 2020 - Astrophysics, Undergraduate student UDel
  • Julien Baur - Postdoc 2018-2019 - Urban Science postdoc
  • Umer Zubair - 2019-2020 - MS Physics
  • Desiderio Pilla - 2020 - MS Data Science
  • Gabriella Cammarata - 2017-2018 - MS Industrial Design
  • Bea Steers - 2018 - MS Urban Science
  • Jon Kastelan - 2018 - MS Urban Science
  • Chun Chieh Tsai - 2018 - MS Urban Science
  • Charlie Moffett - 2018 - MS Urban Science
  • Prince Abunku - 2018 - MS Urban Science
  • Isha Chaturvedi - 2018 - MS Urban Science
  • Guobing Chen - 2018 - MS Urban Science
  • Hrafnkell Hjörleifsson - 2017 - MS Urban Science
  • Michelle Manting Ho - 2017 - MS Urban Science
  • Christopher Prince - 2017 - MS Urban Science
  • Achilles E. A. Saxby - 2017 - MS Urban Science

Resources

Recent Publications

Multi-filter UV to NIR Data-driven Light curve Templates for Stripped Envelope Supernovae

Somayeh Khakpash, Federica B. Bianco, Maryam Modjaz, Willow F. Fortino, Alexander Gagliano, Conor Larison, and Tyler A. Pritchard

Every Datapoint Counts: Stellar Flares as a Case Study of Atmosphere Aided Studies of Transients in the LSST Era

Riley W. Clarke, James R. A. Davenport, John Gizis, Melissa L. Graham, Xiaolong Li, Willow Fortino, et al.

Light Curve Classification with DistClassiPy: a new distance-based classifier

Chaini, Siddharth; Mahabal, Ashish; Kembhavi, Ajit; Bianco, Federica B.