Netopia AI
Jerome Espina is a Junior Data Scientist at Netopia AI since March 2024, previously serving as a Data Science Intern. Espina worked as a Valuation Analyst at WTW and interned in Nanoscience and Technology at Academia Sinica, where expertise in band structure calculations using DFT and MATLAB was developed. Additional experience includes a Bioinformatics and Genomic Data Analysis internship at the International Rice Research Institute, focused on bioinformatics analysis and operational skills in Linux. Jerome Espina holds a Bachelor of Science in Applied Physics with a focus on Quantum Transport and Quantum Thermodynamics from the University of the Philippines and a High School Diploma in STEM from the Polytechnic University of the Philippines.
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Netopia AI
Despite the scientific and technological advances in the recent decades, understanding human behavior on a large scale remains fragmented. The applicability of existing behavioral models and theories both in academe and industry has always been narrowly tailored and compartmentalized, often overlooking the interconnectedness of behaviors across different contexts. Netopia AI is on a mission to map human behavior and disrupt the traditional and narrow approach in behavior understanding. We are building the largest collection of multiscale heterogeneous behavioral data to engineer a Large Behavioral Model (LBM). Adopting an interdisciplinary paradigm and leveraging recent progress in AI, retrieval systems, ancillary machine learning models, and other integrative technologies, LBM is a catalyst for a paradigm shift to behavior understanding on a global scale.