CV

Education

• Ph.D in Physics, Stanford University, 2027 (expected)
• B.S. with Honors in the Majors in Physics and Math, University of Wisconsin-Madison, 2023

Work experience

• June. 2023 – Present: Research Assistant
  • SLAC National Accelerator Laboratory
  • Supervisor: Dr. Julia Gonski
  • Develop machine learning algorithm on embedded FPGA for direct handling of exascale high data throughput in use of anomaly detection and tracking algorithms at Future Collider.
  • Studying previously unexplored Standard Model Higgs boson decays to gluons event identification using the ATLAS detector at the LHC with a transformer-based machine learning framework, under the supervision of Prof. Ariel Schwartzman
  • Studying beam-induced background in a next-generation particle accelerator, Cool Copper Collier, under the supervision of Prof. Caterina Vernieri.
• May. 2020 – May. 2023: Undergraduate Research Assistant
  • University of Wisconsin-Madison
  • Supervisor: Professor Sridhara Dasu
  • Worked on feasibility studies of measuring di-Higgs production and Heavy WIMP Dark Matter Searches at the future Muon Colliders. Both results are submitted to Snowmass 2021.
  • Proposed a novel approach of simulating the beam-induced background effect at the future Muon Collider under the fast Monte Carlo simulation framework Delphes.
  • Worked on the L1 Trigger FPGA firmware development of CMS detector for LHC Phase 2.

Publications

Embedded FPGA Developments in 130nm and 28nm CMOS for Machine Learning in Particle Detector Readout

J. Gonski et al., (2023). "Embedded FPGA Developments in 130nm and 28nm CMOS for Machine Learning in Particle Detector Readout." in submission to JINST.

Muon Collider Forum report

K.M. Black, et al. (2024). "Muon Collider Forum report." JINST. 19 T02015.

Prospects for the Measurement of the Standard Model Higgs Pair Production at the Muon Colliders

K.M. Black, et al. (2023). "Prospects for the Measurement of the Standard Model Higgs Pair Production at the Muon Colliders." in Proceedings of the 2021 US Community Study on the Future of Particle Physics (Snowmass 2021).

Prospects for Heavy WIMP Dark Matter Searches at Muon Colliders

K.M. Black, et al. (2023). "Prospects for Heavy WIMP Dark Matter Searches at Muon Colliders." in Proceedings of the 2021 US Community Study on the Future of Particle Physics (Snowmass 2021).

Talks

Edge Machine Learning for Smart Detectors in Future Colliders

October 02, 2024

Poster at Bridging the Farm: AI for Science at SLAC and Stanford, Stanford, CA

Embedded FPGA Developments in 130nm and 28nm CMOS for Machine Learning in Particle Detector Readout

July 17, 2024

Talk at US ATLAS Summer Workshop 2024, Seattle, WA

Prospects for the measurement of the standard model higgs pair production at the muon colliders.

June 28, 2023

Poster presentation at Fermilab Users Meeting 2023, Batavia, IL

Physics Prospects at the Muon Collider

May 05, 2023

Presentation at UW-Madison Physics Board of Visitors Meeting, Madison, WI

Teaching

Teaching assistant