Ross Lee Email & Phone Number
Who is Ross Lee? Overview
A concise factual answer block for searchers comparing this professional profile.
Ross Lee is listed as Senior Machine Learning Engineer | Robotics Engineer | Founder at Limonata, a with 2 employees, based in Boston, Massachusetts, United States. AeroLeads shows a matched LinkedIn profile for Ross Lee.
Ross Lee previously worked as Senior Software Engineer at Limonata Llc and Machine Learning and Automation Engineer at Los Alamos National Laboratory. Ross Lee holds B.S., Chemical Engineering from Brigham Young University.
Email format at Limonata
This section adds company-level context without repeating Ross Lee's masked contact details.
Review company-level records connected to Ross Lee before choosing the right outreach path.
About Ross Lee
I am a self-professed ChemE turned software developer passionate about using machine learning to drive automation and optimization for engineering applications.I profoundly believe that automation and machine learning will accelerate engineering innovation. Between 2 years of research assistantships at UIUC and BYU – across nuclear engineering, physics, manufacturing engineering, and materials science and engineering departments – I’ve amassed 3 years of experience in industry and government lab settings as a Lead R&D Process Engineer at Neptune Plastics and, more recently, as a Machine Learning Developer at Los Alamos National Laboratory. In those roles, I’ve been integral in driving efficiencies on a number of fronts, in particular for automation.My love of automation extends beyond my 9 to 5, as well. I have a number of side projects in the works, including Limonata, a first-of-its-kind chemical printer that’s intended to reduce the time associated with chemical engineering prototyping by orders of magnitude.* Notable Professional Achievements *Developed highly innovative unsupervised learning approach in nuclear material surveillance and at Los Alamos National Laboratory. Orchestrated a regression-enabled optimization approach with labeled point cloud data for nuclear reactor (MSR) design optimization; macro-enabled reinforcement learning approach in development.Played key role in designing an automated annotation GUI, accelerating image data collection at LANL by 125%.Leveraged machine learning to implement automated processes at Neptune Plastics, enabling a triple-digit increase in production and reducing packaging time by more than half.Co-invented a novel process to reduce bioplastics manufacturing time at Neptune Plastics by 65%.* Key Strengths *Applied Machine LearningDeep LearningSupervised & Unsupervised LearningReinforcement LearningComputer VisionData-Driven ModelingData StructuresAlgorithmsProcess EngineeringTransient AnalysisAnomaly Detection* Technical Expertise *Languages: Python, C/C++, Java, Arduino, Fortran-95, JuliaPackages: PyTorch, TensorFlow, Keras, Scikit-Learn, JAX, OpenCV, Detectron2, Dopamine, ChatGPT APISoftware: Aspen HYSYS, STARCCM+, RELAP5-3D, RMCProfile, MS Azure Machine Learning, Linux CLI, Arduino IDE, LabVIEW, D-Wave Leap, MS Office Suite* Eligible for Security Clearance *
Ross Lee's current company
Company context helps verify the profile and gives searchers a useful next step.
Ross Lee work experience
A career timeline built from the work history available for this profile.
Senior Software Engineer
CurrentDeveloping automation and control software package for Limonata, a low-cost prototyping reactor for chemical processes, including the development of model predictive control approaches with neural networks on time-series data for forecasting. Consulted for several nuclear machine learning research projects, contributing to several publications and developing ML-based software to drive efficiencies.
Machine Learning And Automation Engineer
Contributed to numerous machine learning initiatives, developing and implementing algorithms and models to create intelligent systems, drive efficiencies, and solve complex problems. Notably, I created and developed unsupervised machine vision software to automate the segmentation of damage, corrosion, and anomalies on the surface of nuclear storage containers. This software has potential applications across and beyond LANL.
Condensed Matter Research Assistant
Collaborated with Oak Ridge National Laboratory to obtain neutron data for 100 reverse Monte Carlo simulations using RMCProfile. Characterized 3 fluoride molten salts for the Principal Investigator.
Nuclear Reactor Design Research Assistant - Machine Learning
Drove 66% improvement in predictive models for temperature profiles of novel molten salt reactors using 3 regression approaches. Developed supervised reactor design optimization package (in progress), reducing data collection and optimization time by 92% or more. Modeled analytical velocity and temperature profiles in 3 reactor model annuli using the regular perturbation method. Adapted existing sodium-cooled fast reactor nodalizations and RELAP5-3D code to deliver novel MSR designs.
Lead R&D Engineer
Led development of manufacturing processes, including orchestrating the development of proprietary control software with CI/CD, ordering equipment, and designing automated workflows for manufacturing.
Summer Research Assistant
Collaborated with the PI to adapt existing quantum annealing packages in Python. Optimized 10 COVID-19 polypeptide sequences on the D-Wave superconducting architecture. Demonstrated the practicality of the annealing approach to quantum computing for the NP-hard codon degeneracy problem, computing 20 statistically significant Hamiltonian scores. Presented findings to a consortium of physicists and engineers at UIUC. Contributed to the development of an outreach video on bioplastic fabrication and characterization.
Automation Research Assistant
Developed a high-res analog camera circuit using Arduino to approximate wettability angles. Leveraged a computer vision program to extract 30+ angles. Automated a lab jack’s upward velocity to predict wettability of 3K carbon fiber, achieving a 70% improvement in precision.
Mathematics Teaching Assistant
Lab Assistant
Assisted 3 PhD students and principal investigator Dr. Brad Bundy in developing and optimizing an Arduino Uno to detect errors in the temperature gradient fluctuations in 30 slots of a polymerase chain reaction thermocycler over the course of 3-hour time increments and proposed a source of the issue. Observed and assisted in protocols pertaining to agarose gel electrophoresis for polymerase chain reactions.
Ross Lee education
B.S., Chemical Engineering
Computer Science
Frequently asked questions about Ross Lee
Quick answers generated from the profile data available on this page.
What company does Ross Lee work for?
Ross Lee works for Limonata.
What is Ross Lee's role at Limonata?
Ross Lee is listed as Senior Machine Learning Engineer | Robotics Engineer | Founder at Limonata.
Where is Ross Lee based?
Ross Lee is based in Boston, Massachusetts, United States while working with Limonata.
What companies has Ross Lee worked for?
Ross Lee has worked for Limonata, Limonata Llc, Los Alamos National Laboratory, Brigham Young University, and Neptune Plastics.
How can I contact Ross Lee?
You can use AeroLeads to view verified contact signals for Ross Lee at Limonata, including work email, phone, and LinkedIn data when available.
What schools did Ross Lee attend?
Ross Lee holds B.S., Chemical Engineering from Brigham Young University.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial