Used statistical techniques to test biological hypothesis from protein engineering dataBuilt an internal web app to expedite and democratize protein design analysis using Flask and PlotlyIntegrated molecular structure libraries and custom plot configurations to enable interactive visualizations

First and only software engineer at a Series-B scale chemical engineering startup (20-40 people).Tasked with identifying problems related to data capture and analysis within the company and then designing and implementing a solution. Problems: - Data was stored in hard-to-search formats like lab notebooks and excel spreadsheets.- Knowledge was becoming siloed in individual teams.- Inconsistent and error-prone calculations- Strong preference that this solution does not require additional staff or much training.Solution (Access to full demo site available on request, screenshots at https://github.com/natetheadequate/lucas-demo-screenshots): - Webapp connected to MongoDB - Use drag and drop library to design forms - Use drag and drop library to write aggregation queries against MongoDB, and integrate visualization library to see results in real time. - Provided blocks to perform complicated aggregations, such as dimensional analysis and operations on vectors.In addition, resolved problems related to printers and internet in lieu of an IT department and functioned as point-of-contact for Comcast and Dell support technicians.References available on request.

Tutored a variety of classes, including Algorithms, Object Oriented Design, Fundamentals of Computer Science 1 and 2, Probability and Statistics, Differential Equations, Linear Algebra and Physics 2.

Wrote software for a computational chemistry research group.Automated Docker: Python script to work with Schrodinger Maestro to automate a time-consuming task.ML excitation model: Use Python and Matlab to create feature vector for a three molecule system being studied to see if positions could be fed into a TensorFlow model to predict oscillator strengths and wavelengths.

Worked through programming challenges given by Professor Kaeli utilizing the engineering Linux machines.

Prepared, delivered and served food in compliance with COVID and food safety policies.

Assisted Director of Technology with IT related tasks like backups, setting up desktops, and phone lines.