Vivek Anand
Head of Technology | VP - Data Science | GenAI | Agentic AI | Physical AI
- Role
- Principal at Exponent
- Location
- Houston, TX, US
- LinkedIn followers
- 500 followers
About Vivek Anand
I lead the development and commercialization of cross-industry solutions that leverage the latest AI, GenAI and machine learning innovations to solve challenging business problems through data-driven decision-making. I lead cross-functional and globally distributed teams of high-performing data scientists, data engineers, solution architects, and front-end developers to bring cutting-edge products and solutions to the market. I have consulted for and deployed enterprise AI solutions for many Fortune 500 companies across multiple industries including retail, manufacturing, health care, life sciences, oil and gas, and technology.To evangelize the use of AI in business, I have co-founded SciOpus - world\'s first online community of business leaders, entrepreneurs, technical professionals and AI enthusiasts. have a PhD in Chemical Engineering, and have authored 20 seminal papers and 15 US patents on techniques in machine learning, artificial intelligence, predictive analytics, and statistical analysis.
Experience
Principal
Mar 2026 — Present · Houston, TX, US
I build engineering-grade, trustworthy, and defensible AI for physical systems—bringing scientific rigor to high-stakes decisions in the real world.• Integrate physics-based engineering models with AI/ML to deliver explainable, reliable insights for complex, safety-critical systems• Lead the development of AI-enabled solutions for failure prediction, risk assessment, and operational optimization across energy, utilities, manufacturing, and life sciences• Establish AI strategy, architecture, and best practices to scale engineering-grade AI across multidisciplinary consulting engagements• Drive AI-led go-to-market initiatives, combining scientific expertise with advanced analytics to unlock new, high-impact service offerings• Partner with engineers, scientists, and clients to translate real-world engineering challenges into scalable, AI-driven solutions• Advance the adoption of explainable, auditable, and regulator-ready AI, ensuring outputs are defensible in high-stakes and compliance-driven environments
Education
Rice University
Doctorate, Chemical Engineering
2002 — 2007
Indian Institute of Technology, Delhi
Bachelor of Technology, Chemical Engineering
1998 — 2002
Skills
- Energy Industry
- Energy
- Characterization
- Artificial Intelligence
- Spectroscopy
- Geophysics
- Matlab
- Petrophysics
- Oilfield
- Catalysis
- Data Mining
- Nmr
- Petroleum Engineering
- Fluids
- Machine Learning
- Petrel
- Oil
- Research
- Optimization
- Reservoir Simulation
- Upstream
- Oil
- Management
- Physics
- Data Science
- Python
- Engineering
- Wireline
- Chemical Engineering
- Numerical Analysis
- Geology
- Petroleum
- Data Analysis
- Field Development
- Reservoir Management
- Deep Learning
- Formation Evaluation
- Core Analysis
- Gas
- Petrophysical Data Interpretation
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