Hi, I'm Bilgenur Baloglu - Adjunct Professor of Applied Data Science and AI at University of San Diego
I am driven by the complexity of biological and artificial systems. I thrive in high-stakes environments where I build the team and technical architecture to turn ambiguity into rigorous, scalable reality.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Successfully led a 20-person team to deliver an airborne eDNA platform recognized by the U.S. Congress.
Currently building training data infrastructure for humanoid robots while teaching deep learning at the University level.
Provides strategic expertise in scaling technical platforms and translating complex scientific data into production-ready AI solutions.
🚀 Career trajectory
Scientific Foundations
Built deep domain expertise through a PhD in Molecular Biology and rigorous academic research.
✦ PhD
✦ Molecular Biology
Systems Orchestration
Moved into industrial bioinformatics and platform management at large-scale scientific organizations.
✦ Bioinformatics
✦ Genomics
Founding & Scaling
Transitioned to entrepreneurship and leadership, tackling robotics, AI, and biosurveillance.
✦ Founder
✦ AI Strategy
💪🏻 Superpowers
Bio-Computational Architect
Engineering high-accuracy pipelines for complex genomic datasets
✦ Architected open-source pipelines that boosted genomics classification accuracy to over 99%.
✦ Transformed raw, high-stakes biological data into mission-critical decision support tools.
Strategic Scale Builder
Navigating concept-to-deployment lifecycles for technical platforms
✦ Led 20-person cross-functional teams through complex, multi-site project deployments.
✦ Served as primary escalation point for global genomics platforms serving 800+ accounts.
Technical Pedagogical Leader
Bridging academia and industry through applied intelligence
✦ Teaches graduate-level deep learning, translating research into practical industry applications.
✦ Mentors cross-institutional teams to bridge the gap between theory and execution.
I'm excited about
✦ Exploring strategic partnerships in the intersection of AI and physical world robotics.
✦ Connecting with leaders tackling high-stakes, ambiguous technical problems in deep tech.
✦ Identifying opportunities to apply academic rigor to high-growth, early-stage ventures.
I can help with
✦ Advising startups on building robust, scalable AI architectures for messy data environments.
✦ Mentoring technical teams on effective cross-functional collaboration and R&D strategy.
✦ Evaluating the feasibility and technical path for early-stage genomics or AI platforms.
I would love your help on
✦ Identifying potential collaboration opportunities within emerging humanoid robot training data spaces.
✦ Connecting with seasoned founders who have navigated large-scale scientific research funding.
✦ Finding forums that prioritize pragmatic applications of deep learning in industrial automation.