Lucas V. Schuermann

About Me

Hello! I am currently building Variational Research, an algorithmic market maker. I was previously VP of Engineering at Genesis Trading, an institutional liquidity provider, after I founded and sold Qu Capital, a quantitative hedge fund. Prior to Qu, I was an Egleston Scholar at Columbia University studying Computer Science. My background includes experience at Google X (robotics), Goldman Sachs (strats), the Columbia University Robotics Group, the Columbia Computer Graphics Group, the Columbia Bionet Lab, and Wolfram Research.





  • Consulting Software Engineer | Synappsys Digital Services (2011–2012)
    Worked on proprietary code for generation and manipulation of laser scanned 3D meshes
  • Consulting Frontend Engineer | Sole Proprietor (2010–2014)
    Web development services for local businesses




Projects & Open Source

  • Real-Time Position-Based Fluid Simulation (2021)
    Experiments with Rust PBD fluid simulation targeting both native binary and WebAssembly. Works with modern browsers
  • Real-Time In-Browser Fluid Simulation with WebAssembly and WebGL2 (2021)
    Experiments with Rust SPH simulation including a WebAssembly thread parallel solver rendering to an HTML canvas context. Works with modern browsers
  • Parallel PCISPH and Müller SPH (2021)
    Experiments with porting fluid simulations to Rust. Concise, idiomatic implementations with added parallel solvers
  • Real-Time Raytracing of Black Holes in Interactive VR (2017, 2020)
    Awarded engineering project grant to develop a raytraced approximation of the visual phenomena of black holes in real-time virtual reality
  • RL Grasping | CS6731 Final Project (2019)
    Deep deterministic policy gradients and hindsight experience replay seeded with demonstrations applied to grasping problems for FetchIt! at ICRA 2019
  • Cellular Automata in LISP | CS3101 Final Project (2017)
    Elegant implementation of cellular automata simulation in LISP. Supports elementary cellular automata and Conway's "Game of Life"
  • Spectral Energy Visualization (2016)
    Experiments with FFT-based audio spectral energy visualization towards onset detection. Works with modern browsers
  • Incompressible SPH | CS4167 Final Project (2015)
    Experiments with predictive-corrective integration methods applied to enforcing the incompressibility of SPH simulations
  • Quadcopter Research Platform (2015–2016)
    Awarded engineering project grant to create extensible low-cost platform for autopilot control system research
  • Laminar Dynamics | Columbia Venture Competition (2015–2016)
    Founded team to build autonomous drones for medical supply delivery in Africa. Columbia Venture Competition finalist
  • Pingr | Columbia Residential Incubator (2014–2015)
    Tested location-based social network through product-market fit analysis with surveys. Developed MVP as part of selective entrepreneurship incubator
  • FFFT of Generated Functions | ELEN1201 Final Project (2014)
    Function generation using variable inductor-capacitor circuits and frequency spectrum display using a fixed fast Fourier transform
  • ANNs for Robot Navigation (2011-2012)
    Early independent project to train feedforward neural networks using genetic algorithms for collision avoidance
  • Experiments with Physically-based Animation (2007–2011)
    Developed fully-featured rigid body physics engine. Particle-based fluid dynamics, cloth simulation, shadows, raytracing, and more
  • Long-Distance Control for UAVs (2005–2007)
    Developed robotic directional antenna for communication with fixed-wing UAVs including smooth tracking algorithm
  • Real-Time Video for Robot Remote Control (2002–2004)
    Developed a wheeled robot with servo mounted camera combining a PC and microcontroller to demonstrate remote movement with real-time video


  • Google Cloud for Data Science | Columbia University (2017)
    Curriculum covering virtual machine creation, containerization, and basic devops. Lecture given with 75+ attendees at Columbia's largest data hackathon
  • Avoiding Overfitting in Finance | Columbia University (2017)
    Lecture given as part of a larger series I coordinated on modern quantitative finance. Brief talk notes covering common pitfalls in creating financial models
  • Introduction to Data Science | Columbia University (2017)
    Basic curriculum covering visualization, regression, and clustering. Two workshops with 80+ attendees given at Columbia's largest hackathon
  • Software Engineering: Writing Good Code | Columbia University (2016)
    Given as part of a larger series I coordinated on best practices in software engineering. Covers code style, static analysis, design patterns, and testing


  • C/C++ Essentials (2016)
    Short and informal review covering UNIX, IO, Networking, HTTP, C and C++ language basics, templating, standard container libraries, and much more
  • Java Interview Review (2015)
    Short and informal review covering data structures, algorithms, and general features of Java suitable for interview prep or refreshing language knowledge


Selected Activities


Selected Honors

Selected Media