Lourenz Baliber
@lourenzbaliber
Data Scientist specializing in end-to-end machine learning, predictive modeling, and real-world web deployment.
PhilippinesWhat I'm looking for
I’m a results-driven Data Scientist and Physics postgraduate with hands-on expertise in end-to-end machine learning pipelines, predictive modeling, and data-driven application deployment. I build solutions that move from analysis to production, combining strong modeling with practical deployment.
I’ve developed and deployed ML systems including a heart stroke detection end-to-end pipeline using XGBoost with SHAP explainability—reaching 94.2% classification accuracy and 0.91 AUC-ROC—and packaging it into an interactive Flask + Streamlit web app for real-time risk prediction. I also optimize and engineer performance-focused systems, from a ray tracing renderer accelerated with BVH (about ~72% faster) to automation tooling that served 500+ users.
Across my research roles, I’ve processed and analyzed large scientific datasets (e.g., 2,000+ fluorescence microscopy frames and ~8,000 data points), built Python/MATLAB workflows for passive particle tracking and rheological modeling, and collaborated remotely with international research teams (Philippines–Japan). I’m now seeking fully remote data science roles where analytical rigor meets real-world impact.
Experience
Work history, roles, and key accomplishments
Exchange Student Researcher
Tokyo University of Marine Science and Technology
Jan 2025 - Jan 2026 (1 year)
Processed and analyzed 2,000+ fluorescence microscopy image frames using custom Python pipelines, reducing manual analysis time by ~60%. Developed workflows correlating structural heterogeneity with particle dynamics across 80+ samples and contributed to a peer-reviewed publication.
Graduate Researcher – MSc Thesis
University of San Carlos
Jan 2024 - Jan 2026 (2 years)
Performed quantitative analysis of fluorescence microscopy and passive particle tracking on ~8,000 data points for mixed carrageenan hydrogel systems. Implemented Python/MATLAB pipelines for MSD and viscoelastic moduli extraction across 50+ particle trajectories and collaborated remotely with international researchers.
Research Assistant
DOST PCIEERD NICER
Aug 2023 - Nov 2023 (3 months)
Supported data collection and analysis for biomimetic tissue engineering experiments, processing 15+ experimental datasets. Assisted in processing and interpreting biomechanical measurement datasets contributing to a government-funded national research project.
Research Intern
University of San Carlos
Jun 2023 - Jul 2023 (1 month)
Conducted optical tweezers and microrheology experiments on complex fluids across 20+ sample conditions. Processed experimental data to quantify local viscoelastic properties, achieving reproducibility within ±3% measurement error.
Education
Degrees, certifications, and relevant coursework
University of San Carlos
Master of Science (MSc), Physics (Biophysics)
2024 - 2026
MSc in Physics (Biophysics) with thesis on the gelation mechanism and network formation of FITC-labeled mixed kappa/lambda carrageenan gels.
University of San Carlos
Bachelor of Science (BSc), Applied Physics
2020 - 2024
BSc in Applied Physics with thesis on characterization of fibrin-carrageenan mixtures as a hydrogel model using passive particle tracking and AFM for skeletal muscle tissue engineering.
Availability
Location
PhilippinesAuthorized to work in
Job categories
Skills
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