Naveen Venayak
AI | Data Science | Automation | Software | Strategy
- Role
- Director, R & d Platform (Data Science, Software, Automation) at Geno
- Location
- San Diego, CA, US
- LinkedIn followers
- 500 followers
About Naveen Venayak
Data science professional with experience building multi-national teams delivering AI and data engineering solutions to achieve commercial success with fewer hands and reduced lead times. Passionate about maximizing the value of costly experiments in the biotechnology sector by designing data-driven experiments and interpreting them using mechanistic & AI models.
Experience
Director, R & d Platform (Data Science, Software, Automation)
Feb 2025 — Present · San Diego, US
Led scoping, negotiation, and delivery of a multi-million dollar LIMS ecosystem (Benchling + custom services), while personally architecting core data models, system integrations, and automation interfaces- Identified, scoped, and executed high-ROI platform initiatives by directly evaluating technical feasibility, building prototypes, and productionizing solutions spanning data science, lab automation, and software systems- Personally designed and implemented high-impact components of the R&D platform, including workflow models, data pipelines, and automation orchestration logic used across multiple labs- Architected end-to-end experimental workflows integrating LIMS, laboratory instrumentation, and analytics to enable closed-loop experimentation and real-time decision making.
Education
University of Toronto
Doctor of Philosophy (PhD), Chemical Engineering
University of Ottawa
Biotechnology: Bachelor of Science (BSc) and Bachelor of Applied Chemistry (BASc), Biochemistry and Chemical Engineering
Skills
- Cell Culture
- Bioinformatics
- Protein Expression
- Matlab
- Molecular Biology
- Data Science
- Django
- Chemical Engineering
- Research
- Metabolic Engineering
- Laboratory Automation
- Sql
- Linux
- Machine Learning
- Laboratory Robotics
- Nginx
- Cell Biology
- Polymerase Chain Reaction (Pcr)
- Biochemical Engineering
- Synthetic Biology
- Science
- Biochemistry
- Amazon Web Services (Aws)
- Scikit-Learn
- Dna Assembly
- Object-Relational Mapping (Orm)
- Fermentation
- Data Analysis
- Python
- Microsoft Office
- Experimental Design
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