Jack Berkowitz
Staff ML Scientist at Precision Neuroscience
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJack Berkowitz is a Staff ML Scientist in Seattle with a PhD in physics and 11 years of experience applying machine learning and statistical inference to challenging signal and sensory problems. He has driven production-ready solutions at Apple and Precision Neuroscience and previously built datasets, shift-detection pipelines, and multimodal biometric tools at In-Q-Tel. His academic work fused information theory, stochastic optimization, and custom estimators to probe neural coding, resulting in peer-reviewed publications and robust data pipelines. Comfortable moving ideas from numerical PDE simulators and reinforcement learning environments to cloud-deployed services, he blends theoretical rigor with pragmatic engineering. Colleagues rely on him to untangle noisy, real-world data and design novel hypothesis-driven algorithms rather than off-the-shelf fixes.
11 years of coding experience
16 years of employment as a software developer
Bachelor Of Arts Physics Mathematics, Bachelor Of Arts Physics Mathematics at Coe CollegeUniversity of California, San Diego
Github Skills (65)
multimodal9
asr9
speech-synthesis9
nlp8
api8
nmt8
robotics8
machine-translation8
toolbox8
web-application8
speech-to-text8
simulation8
artificial-intelligence8
cloud-computing7
deep-learning7
Programming languages (4)
Github contributions (5)
jaberkow/WaveRL
Jun 2019 - Jul 2019
Contributions:69 commits, 7 PRs, 61 pushes in 1 month
IQTLabs/VOiCES_Toolkit
May 2020 - Jul 2021
Scripts and utilities for working with the VOiCES dataset.
Contributions:2 PRs, 1 push, 3 branches in 1 year 2 months
voicesasrdatasetdatasetsspeech-processing
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