Katya Govorkova
Postdoctoral Researcher at MIT Laboratory for Nuclear Science
Geneva, Geneva, Switzerland
Summary
👤
Senior🎓
Top SchoolKatya Govorkova is a postdoctoral researcher and machine learning practitioner with eight years of experience applying dense, convolutional and graph (variational) autoencoders and deep clustering to real-time scientific data streams at 40 MHz. She has held research positions at CERN and MIT, contributing ML-driven trigger systems for LHCb/CMS and astrophysics applications, and is an advocate for automation, CI pipelines, and reproducible workflows. Her background combines a PhD in Particle Physics from VU Amsterdam and specialist training from MSU with hands-on operations experience including High Level Trigger shifts and shift leadership at CERN. Katya bridges cutting-edge research and production engineering, turning complex detector data into actionable, low-latency inference pipelines. Colleagues rely on her to translate novel ML architectures into robust systems that run at scale in experimental environments. She is equally comfortable prototyping advanced variational graph models and hardening them for continuous integration in mission-critical physics experiments.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Particle Physics, Doctor of Philosophy - PhD Particle Physics at Vrije Universiteit Amsterdam (VU Amsterdam)Lomonosov Moscow State University
English, Russian, Dutch, French
Github Skills (15)
fpga10
keras10
pytorch10
machine-learning10
vivado10
vivado-hls10
onnx10
python10
neural-network9
tensorflow7
deep-learning7
lpc6
git3
benchmark2
benchmarking2
Programming languages (5)
Github contributions (5)
mpp-hep/ADC2021-results
Jan 2022 - Nov 2023
Contributions:2 releases, 1 PR, 2 tags in 1 year 10 months
katyagovorkova/hls4ml
May 2021 - Feb 2023
Machine learning in FPGAs using HLS
Contributions:18 PRs, 36 pushes, 4 branches in 1 year 9 months
machine-learninghlsfpgafpgas
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