Jesse Crossno
CPO at CrossnoKaye
- Role
- Chief Product Officer at Crossnokaye
- Location
- Santa Barbara, CA, US
- LinkedIn followers
- 500 followers
About Jesse Crossno
I am the co-founder and Chief Product Officer at CrossnoKaye, where we use physics, AI, and advanced process control to solve highly technical, complicated, real-world problems in heavy industries. My passion lies in solving problems within complex systems, something I have explored and prioritized both in my academic and professional career. As Chief Product Officer, I lead the product and science teams, integrating physics-based machine learning and predictive analytics into ATLAS for the highest standards of reliability, safety, performance, and control. My work focuses on building hyper scalable cloud and edge SaaS products that combine AI and advanced process control to optimize our customers\' heavy industrial operations.CrossnoKaye is revolutionizing heavy industry through ATLAS, an intelligent Enterprise Control Platform that deploys the world’s most advanced controls algorithms at scale into safety-critical environments. It enables customers to instantly apply AI to control heavy industrial equipment—making legacy facilities “smart” in days instead of years. The result: significant, quantifiable ROI and enterprise-wide impact.
Experience
Chief Product Officer
Jun 2017 — Present · Santa Barbara, CA, US
CrossnoKaye is revolutionizing heavy industry through ATLAS, an intelligent Enterprise Control Platform that deploys the world’s most advanced controls algorithms at scale into safety-critical environments. It enables customers to instantly apply AI to control heavy industrial equipment—making legacy facilities “smart” in days instead of years. The result: significant, quantifiable ROI and enterprise-wide impact.
Education
Harvard University
Master's Degree, Applied Physics
2011 — 2013
UC Santa Barbara
BS, Physics
2008 — 2010
Harvard University
Ph.D., Applied Physics
2011 — 2017
Skills
- Matlab
- Python
- Latex
- Partial Differential Equations
- Experimentation
- Mathematical Modeling
- Characterization
- Spectroscopy
- Numerical Analysis
- Microscopy
- Afm
- Physics
- Data Science
- Sensors
- Research
- Data Analysis
- Nanotechnology
- Mathematica
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