Darin Hitchings

Darin Hitchings is a highly skilled Ph.D. professional with a diverse background in algorithms engineering, applied mathematics, and software engineering across various industries like automotive, finance, defense, and gaming.

Being an applied mathematician, Darin specializes in operations research, combinatorial optimization, stochastics, machine learning, pattern recognition, decision support systems, and artificial intelligence, with proficiency in computer programming and simulation.

His expertise extends to computational finance, portfolio management, risk analysis, and business intelligence, where he excels in applying sophisticated mathematical techniques to complex computer programs.

Darin's educational journey includes a Ph.D. in Systems Engineering and an MS in Electrical Engineering from Boston University, a BS in Electrical Engineering from UC San Diego, and studies in French at Université Stendhal Grenoble 3.

Throughout his career, Darin has held various roles such as Model Validation Consultant at IBM, Senior Staff Autonomous Vehicle Systems Engineer at Renesas Electronics America, Freelance Consultant, and Risk Analysis Consultant at Four Twenty Seven, Inc.

He has also worked as an Algorithms Consultant at New Classrooms, Senior Associate in Model Engineering, and Lead Quantitative Engineer at MSCI Inc., among other positions in prestigious organizations across different sectors like finance and gaming.