(Get my resume here.)

I am a mathematical modeler and analyst with over ten, post-PhD years of experience with statistical and machine learning techniques, optimization (linear and nonlinear programming), game theoretic modeling, and programming for high-performance computing (HPC). I have extensive coding experience in C/C++/FORTRAN, python, javascript, and matlab,  “*nix” environments including remote clusters, cloud services (especially AWS), and service containerization and kubernetes. I am a highly skilled mathematician trained (and published) in areas including optimization, game theory, statistics, machine learning, and physical modeling. My primary domain experience lies in automotive markets, alternative fuel vehicles, and transportation policy particularly related to fuel economy and greenhouse gas emissions regulations. I am also an expert in discrete choice modeling and related statistical estimation problems, and focused as an academic on “tough” optimization (nonlinear, non-convex, and or non-smooth problems); programming for high performance computing, in serial and distributed environments.

I have a PhD, MS, and BS in Mechanical Engineering, as well as a MS in Applied Math, from the University of Michigan Ann Arbor. During 2008-2009 was a postdoctoral researcher in the Belfer Center for Science and International Affairs at the Harvard Kennedy School of Government, and a lecturer at MIT

Currently I am a Senior Software Engineer (Backend & AI) at Bond Financial Technologies. Bond is building a platform to forge frictionless financial relationships between banks with capital and fintechs offering novel financial products. Currently these relationships are frought with burdensome compliance requirements and mismatched technology; our goal is to bring capital and customers together in a modern platform with embedded regtech to extend the reach of capital to currently underserved communities.

My personal responsibilities currently concern the security, scalability, performance, maintainability, and observability of Bond’s platform. I work mostly on our platform team responsible for managing all our kubernetes and security infrastructure for all Bond products and services. I participate in these efforts as well as lead some key third party service integrations. I have some responsibilities in our banking-as-a-service team as well, in webservice foundations and our authentication/authorization and API call logging services. 

Previously I was a Research Computing Specialist and Developer on the DARC team in The Research Hub at Stanford University’s Graduate School of Business. In this role I supported GSB faculty research in a variety of subject matter domains and analytics tools. I also led efforts in research computing infrastructure and web applications for internal use as well as online behavioral experiments. My main, specific areas of work are:

  • High-performance computing (particularly for statistics and structural modeling), in serial and in parallel environments
  • Full-stack web app development (in node.js/react) for online human subjects experiments and internal services
  • “DevOps” and monitoring for on-premise and cloud computing (including compute & storage)
  • Database technologies (serverless query engines like Athena, time-series databases like influxdb) and the infrastructure behind them,
  • Security (encryption, identify verification, secure compute environments)

From December 1st, 2014 through July 2016 I worked at Ford Motor Company’s Research and Innovation Center in Palo Alto. I was part of Ford Global Data Insights & Analytics, a new organization tasked with reorganizing data and analytics across Ford. I conceived of and carried out research projects, undertook business-critical analytics, presented to corporate executives including the CEO, CTO, CIO, CFO, and CDAO (Chief Data and Analytics Officer), and sought out new business relationships in Silicon Valley. In January 2016, I was promoted to GDI&A’s Site Leader in Palo Alto, but ultimately found this as well to mismatch my interests in hard, large problems.

From 2009-2014 I worked as a faculty member at Iowa State University in the Mechanical Engineering and Economics departments. As a former academic, professor, and policy researcher I have strong communication skills (written reports, teaching, peer review, public speaking, media coverage); have overseen research projects with budgets of $400,000; and was awarded over $1.3 Million in competitive federal project funding during my 5 years as a faculty (reflecting a 60% grant funding hit rate, in an NSF division with a 20% average). I ultimately found faculty career requirements are not aligned with my interest in focusing my time on solving hard and large scale computational problems, most research communities somewhat divorced from pragmatic reality, and was generally disappointed with the quality of work broadly accepted as useful academic research. 

I have a strong record of professional service, as well. I co-founded and organized Ford’s RIC Palo Alto Seminar Series, a successful seminar series dedicated to bringing Silicon Valley expertise to a global Ford audience. I co-conceived, co-organized, and co-executed CCBTEP 2014, an NSF-sponsored workshop on Complex Choice Behaviors and Transportation Energy Policy. I’ve proposed, organized, and moderated special sessions in professional conferences for engineering design and marketing science. I have also been a Peer Reviewer for numerous academic journals and have served on federal grant review panels.

More info about my experience at LinkedIn or in my resume. You can contact me at morrowwr@gmail.com. I post (an unfortunately tiny amount of) shareable code on github. If you want to know what I can do, let’s talk or just build something.