David Forney Email & Phone Number

• Developed statistical indicators to assess liquidity, buying/selling pressure, and profitability formarket indices
• Created and deployed mobile alerts that detect shifts in market character and new trade opportunities
• Implemented popular and developed novel strategies for trading zero DTE options and indexfutures, executed thousands of trades across 500+ trading days
• Designed analytics dashboard to evaluate trade history, strategy performance, risk managementcoherence, and identify strategy improvements

Westlake, Texas, US

• Omnitracs acquired SmartDrive in Oct. 2020
• Developed methodology leveraging state machines, signal processing, and computer vision to blendvehicle telematic, geo-location, video, and proprietary trigger data to generate descriptions and automatecategorization.
• Proposed and led industry component of DOT research study on ADAS systems’ efficacy in collisionreduction and the potential of self-driving technologies to reduce collisions
• Deployed next gen trigger management system to production using docker and AWS,ensuring meticulousdocumentation for seamless handover and maintenance

San Diego, California, US

• Managed a team of data scientists and analysts on various projects, such as: - Safety Score optimization by industry - trigger management optimization (automated system to trigger video capture across 100k+ edge.
• Expanded use of Atlassian tools to increase team visibility and collaboration: – Organized a confluence space for documentation of data science projects – Established guidelines for version control in bitbucket and git.
• Developed a roadmap for the integration of advanced analytics and machine learning into the product and operations, taking into account resources required, R+D commitments, costs, and projected returns.Effectively.

San Diego, California, US

• Designed, trained, and optimized a deep learning based collision classifier using convolutional neuralnetworks and 3-axis accelerometer input data. Work done in keras and tensorflow.
• Evaluated performance of deep learning collision classifier. Fscore, ROC curve showed majorimprovements over the collision detection logic that was currently in production
• Developed a machine learning-based safety score that ascertains a driver’s near-term collision likelihoodbased on recent driving behavior data

San Diego, California, US

• Analyzed vehicle telemetry datasets and identified fuel savings opportunities using physicalmodels and machine learning.
• Created interactive customer fuel health and fuel consumption dashboards in tableau showing fuelsavings and consumption statistics, allowing drill down from the company to the driver, to individualincidents of fuel.
• Assisted with the development of a system dynamics model that quantifies the ROI, collision reduction,and customer value proposition of the Smart Drive safety product. Created a tableau dashboardhighlighting the value.
• Worked with data across multiple data warehouse and performed statistical tests to answer various business and market questions, such as: coaching efficacy,driver risk reduction, collision frequency reduction, QA of.
• Wrote various whitepapers highlighting the risks of roadway driving and benefits of SmartDrive products
• Fused telematics and other sensor data to develop novel analytical triggers for SmartDriveproducts. Developed and tested the ETL logic to integrate the data sources in production

Cambridge, MA, US

• As a doctoral student in Dan Rothman's research group on natural complexity, I've
• Authored four articles in peer-reviewed journals on the mathematics of respiration in natural ecosystems
• Lead a research project to characterize the carbon dioxide emission to the atmosphere from soils.
• Collaborated with lab members to identify research direction, select appropriate tools and methodologies, discuss results, publish work.
• Conceptualized and formulated a mathematical theory of carbon degradation networks. Organized loose conceptual ideas and heuristics into a physically-sound mathematical and mechanical framework.
• Wrote computer simulations: Markov models of heterogeneous decomposition networks, inverse method for identifying a rate distribution from an observed decay time series, statistical methods to identify dominant control.

Cambridge, MA, US

· Assisted three courses: Mechanics and Materials, System Dynamics and Control, and Nonlinear Dynamics and Chaos. Courses had 25-45 students each. · Prepared, modified, debugged, and taught labs, taught recitations and substitute lectures, created homework and exam solutions, office hours, developed part of a new lab experiment.

Cambridge, MA, US

Bartended and operated campus pub. Co-Created and implemented a weekly karaoke event which was very successful. The even continues to be a weekly highlight at MIT.

Friedrichshafen, Baden-Württemberg, DE

· Created and analyzed simulations of a pneumatically controlled gearbox using Modelica/Dymola. Developed a Dymola thermodynamics toolkit for use in a basic automatic transmission model. Results used to aid design and fabrication of the latest vehicle powertrain systems. · Reliably carried out tasks independently and also as an excellent team worker.

Newark, DE, US

Brake and Chassis group leader on Formula SAE vehicle design team

Newark, DE, US

Modeled and prototyped a microfluidic device utilizing piezoelectrics.

Livermore, CA, US

· Admitted to Undergraduate Institute in Applied Science program. Research assistant for Homogeneous Charge Compression Ignition engine project. Modeled and simulated the effects of exhaust geometry on the performance of HCCI engines using Fortran. Further development in this field will result in more efficient and environmentally-friendly diesel engines.

Doctor Of Philosophy (Phd), Mechanical Engineering

Ms, Mechanical Engineering

Ba, Mechanical Engineering