Rachel E. C. Smith Top-Executive
I recently finished my PhD in high energy particle physics at Stanford University. During my PhD I worked on analyzing the massive physics datasets produced by the Large Hadron Collider at CERN and developing machine learning algorithms to better understand the data and produce new science. I am excited to apply the technical skills I've acquired to new domains and applications of scientific computing.
Skills:
- Python, PyTorch, JAX, Pandas, Git, SQL
- Machine learning, deep learning, differentiable programming
- Particle physics, data science, statistics
Headquarters:
United States
Headline:
AI Specialist @ Xanadu | Stanford/SLAC Physics PhD
Followers:
219
Connections:
208
Company:
Xanadu
Company Website:
http://www.xanadu.ai
Languages:
English, French, Spanish
Skills:
Machine Learning, Deep Learning, Statistical Data Analysis, Presentation Skills, University Teaching, Classroom Management, E-Learning, Python (Programming Language), Collaborative Problem Solving, LaTeX, Organization Skills
Experience:
Title: AI/ML Specialist
Company: Xanadu
Location: Toronto, ON
Start: Oct 2025
End: Present
Title: Graduate Student Researcher
Company: SLAC National Accelerator Laboratory
Location: Menlo Park, California, United States
Start: Sep 2018
End: Apr 2025
Title: Graduate Teaching Assistant
Company: Stanford University
Location: Palo Alto, California, United States
Start: Jan 2020
End: Aug 2020
Education:
School: Stanford University
Degree: Doctor of Philosophy - PhD
Field: Elementary Particle Physics
Period: Sep 2018 - Apr 2025
School: University of Illinois Urbana-Champaign
Degree: Bachelor of Science - BS
Field: Physics
Period: Aug 2014 - May 2018
Publications:
Search for decays of the Higgs boson into scalar particles decaying into four or six b-quarks using pp collisions at √s = 13 TeV with the ATLAS detector (arxiv.org · Jul 1, 2025)
The development of a novel machine learning algorithm for jet flavor classification and a search for exotic decays of the Higgs boson using the ATLAS detector at √s = 13 TeV (Stanford University · Mar 12, 2025)
Differentiable vertex fitting for jet flavor tagging (Physical Review D · Sep 25, 2024)
Search for exotic Higgs decays H → aa in the 4b and 0-lepton final state at √s = 13 TeV using the ATLAS detector (CERN Document Server · Apr 15, 2024)
Awards:
U.S. National Science Foundation Graduate Research Fellow | National Science Foundation | Apr 2018
Stamps Leadership Scholar | Stamps Scholar Program | Aug 2014
Country:
United States