Iris Kalka
Machine Learning Engineer at Meta
Israel
Summary
👤
Senior🎓
Top SchoolIris Kalka is a Machine Learning Engineer with nine years of cross-disciplinary experience bridging computational biology and industrial ML, currently building models at Meta. Trained as a Systems Biology PhD candidate at the Weizmann Institute and a cum laude CS/Bioinformatics graduate from Technion, she blends deep academic rigor with production-focused engineering. Her work spans single-cell genomics pipelines and applied ML in product settings—adding random-walk features for Novi’s ML stack and prototyping batch active learning for tabular data at Booking.com. A proven collaborator in diverse teams, she has led high-impact social-good projects and consistently translates complex research ideas into practical, deployable solutions. Known for spotting novel angles, she often brings biology-inspired perspectives to scalable ML problems.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science (BSc), Computer Science majoring in Bioinformatics, cum laude, Bachelor of Science (BSc), Computer Science majoring in Bioinformatics, cum laude at Technion - Israel Institute of TechnologyPhD, Computer Science and Computational Biology, PhD, Computer Science and Computational Biology at Weizmann Institute of Science
English, Hebrew
Stackoverflow
11reputation
15kreached
1answer
0questions
Github Skills (60)
shapley10
shap10
machine-learning10
gradient-boosting10
deep-learning10
kaggle8
classification8
python8
linear-models8
lightgbm8
data-mining8
gradient8
resampling8
sampling8
parallel8
Programming languages (5)
Github contributions (5)
TalShor/SciLMM
Oct 2018 - May 2019
Sparse Cholesky factorIzation Linear Mixed model
Contributions:45 commits, 6 PRs, 16 pushes in 6 months
factorizationlinear-modelssparselinearscikit-learn
kalkairis/BuildPhIPSeqLibrary
Jan 2022 - Nov 2022
Contributions:44 commits, 2 pushes in 10 months
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