Elham Khoda
Assistant Professor Of Teaching at The University of British Columbia
Vancouver, British Columbia, Canada
Summary
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Rockstar🎓
Top SchoolElham Khoda is an assistant professor of teaching and computational data scientist with 9+ years of experience applying machine learning and statistical modeling to high-energy physics and real-time inference systems. Trained as a physicist on the ATLAS experiment at CERN, she has led novel ML research—ranging from generative models for anomaly detection to low-latency FPGA and Triton-based deployment—for large scientific collaborations. Her work spans academic instruction, organizing hands-on ML training for hundreds of researchers, and production-focused software for inference-as-a-service at national labs. Based in Vancouver and with recent roles at UC San Diego and Berkeley Lab, she blends deep domain expertise in particle physics with practical data-science engineering. An avid traveler and cultural explorer, she brings a global perspective to collaborative problem solving and science education.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, 94%, Doctor of Philosophy - PhD, Physics, 94% at The University of British ColumbiaBS-MS Dual Degree, PHYSICAL SCIENCES, 9.00, BS-MS Dual Degree, PHYSICAL SCIENCES, 9.00 at Indian Institute of Science Education & Research (IISER), KolkataHigh School, Science, High School, Science at Ramakrishna Mission Vidyalaya, Narendrapur
English, Bengali, Hindi
Github Skills (12)
vivado8
fpga7
keras6
python6
machine-learning5
pytorch5
vivado-hls4
neural-network4
onnx3
anomaly-detection1
acme1
outlier-detection1
Programming languages (4)
Github contributions (5)
elhamekhoda/NNExamples
Aug 2017 - Apr 2020
Contributions:6 pushes, 1 branch in 2 years 8 months
elhamekhoda/mkdocs-base
Apr 2020 - May 2020
Contributions:57 pushes, 2 branches in 7 days
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