Julian Rachele Email & Phone Number

New York, United States

New York, United States

My final graduate work concerns the REDCRAFT project for fast protein structure approximations using Residual Dipolar Couplings. Specifically, I have been optimizing the matrix algorithms to better take advantage of OpenMP's parallelization, and restructuring the algorithms to better take advantage of GPU offloading. In addition, I have written unit tests and contributed to creating a continuous deployment pipeline through Bitbucket, as well as serving as the sysadmin for the IFESTOS (Valafar Lab) website and updating the website's information.

Rennes, Bretagne, France

As an intern at Asterion, I was tasked with implementing the Goal Oriented Action Programming (GOAP) AI model to direct terrorist and hostage AI for French counterterrorist operatives to practice hostage extraction operations. I worked with the Unreal Engine and implemented GOAP itself in C++ while extending the implementation with Unreal’s blueprint system.

Columbia, South Carolina Area

Aided computational biologists in the optimization and facilitation of use of REDCRAFT, a software suite for computational protein folding written in C++. During my time working on this project, I re-engineered the build system to take advantage of CMake, wrote a user interface using the Qt framework, wrote a few Python scripts to interface with the REDCRAFT engine, and made optimizations to the engine itself to improve computing speeds. I have also rewritten the documentation and hosted it using ReadTheDocs, which will host it for free indefinitely.

Columbia, South Carolina, United States

Following my work on her website, Dr. Paula Vasquez asked me to help her research team visualize yeast genome simulations in 3D. Using a large data set calculated out the previous semester, I have created an online web application that visualizes yeast chromatin in 3D space, colorized according to the relative mean square displacement of each 'bead on a string'. The visualization is adjustable, and optional hierarchical clustering can be enabled to visualize areas of high activity. The application was written in Python with the help of Dash, Plotly, Scipy, Numpy, and Pandas.

Columbia, South Carolina Area

Over the course of a few months, I worked with Dr. Paula Vasquez in the Math Department to port educational MATLAB applications to Javascript for her students. The port was done in vanilla Javascript with the Plotly.js library for interactive graphing. Additionally, I redesigned her website using the Bootstrap framework to better reflect her professional profile.

Master'S Degree, Computer Science

Bachelor'S Degree, Computer Science

Activities and Societies: Phi Beta Kappa, French Club, Quizbowl Team