Jesse Crossno

Chief Product Officer @Crossnokaye

Santa Barbara, CA, US
EMAILS
c••••••@crossnokaye.com
MOBILE NUMBERS
+16•••••••41

Signup · Get unlimited contacts

WORK HISTORY

Jun 2017 — Present

Chief Product Officer @Crossnokaye

View department →

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

2011 — 2013

Harvard University

Master's Degree, Applied Physics

2008 — 2010

UC Santa Barbara

BS, Physics

2011 — 2017

Harvard University

Ph.D., Applied Physics

SKILLS

MatlabPythonLatexPartial Differential EquationsExperimentationMathematical ModelingCharacterizationSpectroscopyNumerical AnalysisMicroscopyAfmPhysicsData ScienceSensorsResearchData AnalysisNanotechnologyMathematica

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.

This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.