Avatar

Joshua Bloom

Professor of Astronomy

UC Berkeley

Welcome

Josh is an astronomy professor at the University of California, Berkeley teaching radiative processes, high-energy astrophysics, astronomy data lab, and a graduate-level “Python for Data Science” course. He has published over 300 refereed articles largely on time-domain transients events, artificial intelligence, and telescope/insight automation. His book on gamma-ray bursts, a technical introduction for physical scientists, was published by Princeton University Press. Josh has been awarded the Data-Driven Discovery prize from the Gordon and Betty Moore Foundation and the Pierce Prize from the American Astronomical Society; he is also a former Sloan Fellow, Junior Fellow at the Harvard Society, and Hertz Foundation Fellow. He was co-founder and CTO of Wise.io, an AI application startup, acquired by GE in 2016.

Much of Josh's current group activities can be found at ML4Science.

Note on Speaking Invitations: In the interest of fostering diverse representation, before inviting me to speak at a conference or the like, I ask that organizers pay particular attention to attracting women and those from underrepresented groups to be on the panel(s)/speaker list. I've served on too many academic and industry panels where the representation of such groups was nil or close to zero. If logistics work out, I'd be happy to participate so long as there are some assurances that it will be a diverse group on stage.

Interests

  • Machine learning meets Physics
  • Time domain (Black hole transients, Gamma-ray bursts)
  • Optical/infrared instrumentation

Education

  • PhD in Astrophysics, 2002

    Caltech

  • MPhil in Astronomy, 1997

    Cambridge University

  • AB in Astrophysics and Astronomy and Physics, 1996

    Harvard College

Recent Publications

Quickly discover relevant content by filtering publications.

DECam-GROWTH Search for the Faint and Distant Binary Neutron Star and Neutron Star-Black Hole Mergers in O3a

Synoptic searches for the optical counterpart to a binary neutron star (BNS) or neutron star-black hole (NSBH) merger can pose …

GROWTH on S190814bv: Deep Synoptic Limits on the Optical/Near-infrared Counterpart to a Neutron Star─Black Hole Merger

On 2019 August 14, the Advanced LIGO and Virgo interferometers detected the high-significance gravitational wave (GW) signal S190814bv. …

deepCR: Cosmic Ray Rejection with Deep Learning

Cosmic ray (CR) identification and replacement are critical components of imaging and spectroscopic reduction pipelines involving …

GRB 180620A: Evidence for Late-time Energy Injection

The early optical emission of gamma-ray bursts (GRBs) gives an opportunity to understand the central engine and first stages of these …

GROWTH on S190425z: Searching Thousands of Square Degrees to Identify an Optical or Infrared Counterpart to a Binary Neutron Star Merger with the Zwicky Transient Facility and Palomar Gattini-IR

The third observing run by LVC has brought the discovery of many compact binary coalescences. Following the detection of the first …

Recent Posts

Dynamic Programming with Python dataclasses and joblib

Starting in Python 3.7, the module dataclasses introduces a decorator that allows us to create immutable structures (like tuples) but …

Serverless Distributed Decision Forests with AWS Lambda

Within the Wise.io team in GE Digital, we have monthly "edu-hackdays" where the entire tech team spends the entire day trying to learn …

Darwinistic Pressure in the Land of Cryptocurrency

For many just waking up to the burgeoning land of programmable decentralized value and trust, Bitcoin and cryptocurrency are …

Towards Cost-Optimized Artificial Intelligence

If accuracy improves with more computation, why not throw in more time, people, hardware, and the concomitant energy costs? Seems …

Cache Ugly Reporting Queries With Materialized Views and Docker

Confidence and trust …

Projects

Presentations

Contact

  • 501 Campbell Hall, Berkeley, CA 94720
  • Enter Campbell and go to the second flow
  • DM Me