Welcome
Hi, I'm Franklin Wohnoutka, a student at Drake University studying Computer Science, Mathematics, Data Analytics, and Physics. I'm passionate about applied mathematics, software development, data analysis, and computational science.
Skills
About Me
I am a senior at Drake University pursuing majors in Computer Science, Mathematics, and Data Analytics with a minor in Physics. I enjoy computational research and modeling, software development, machine learning, and data analysis.
I have worked with Drake University's MISSFIT computational research group, contributing to relativistic particle tracking simulations written in C and working toward publishing research on our findings. I have completed my mathematics capstone and am working on getting a paper published on that work as well. I am currently developing a full-stack React Native (Expo) social media platform for fashion content with real-time user interactions, authentication, posts, follows, and commenting using Supabase.
I am always looking for new opportunities to apply my skills. Feel free to reach out via email or LinkedIn.
Projects
Research
MISSFIT — Magneto-Ionization Spacecraft Shield for Interplanetary Travel
An interdisciplinary student-led research collaboration at Drake University designing a magnetic shielding system to protect spacecraft crews from solar wind and galactic cosmic ray radiation. I led the computational subgroup durning the spring of 2026, contributing to relativistic particle tracking and graphing code written in C and MATLAB. View our research poster.
View on GitHub →Random Search for Treasure on Connected Graphs
A mathematics capstone project inspired by the game of Cops and Robbers. We designed a game where a hunter traverses a graph randomly until finding buried treasure, then computed the expected capture time for every possible starting position. Surprisingly, our results showed that hunter starting position has no effect on average expected capture time. View our research poster.
View on GitHub →Modeling of Large-Scale Deportation in Urban Areas
An Agent Based Model built in NetLogo investigating how large-scale immigration enforcement impacts fear and crime in urban communities. Results showed enforcement does not significantly reduce crime rates but increases community fear and widens disparities between targeted and non-targeted populations. View my research poster.
View on GitHub →Software Development
Swipe — Video Download Web App
A collaborative web app built with Flask and Azure that allows users to download videos and audio from YouTube, Instagram, and TikTok. Features include, Google OAuth authentication, Azure Blob Storage for per-user file management, and a responsive Bootstrap frontend with dark/light mode support. I primairly served as the tooling scripter for the project.
View on GitHub →Machine Learning
Bird Species Image Classifier
Fine-tuned three CNN architectures, AlexNet, ResNet, and VGGNet, to identify different species of birds at high accuracy. This type of model could be used in something like a phone app that identifies birds in the wild, or in biological labs to classify specimens. AlexNet performed best overall, getting only 2 predictions wrong.
View on GitHub →MLB Batter Performance Predictor
A machine learning model that predicts batter outcomes given pitch characteristics using Statcast data. Built using Random Forest, Gradient Boosting, and XGBoost regressors on pitch physics data pulled via the pybaseball library. Initially trained on Luis Arraez but designed to work for any MLB player.
View on GitHub →Cause of College Alcohol Consumption
A machine learning study predicting weekend alcohol consumption among college students using KNN, Decision Tree, and Random Forest classifiers. Conducted a feature importance analysis by systematically removing columns to identify which factors — such as social activity, age, and parental education — most influence drinking behavior.
View on GitHub →Object-Oriented Programing
Java Battle Simulator
A text-based RPG battle simulator built in Java demonstrating core object-oriented programming concepts including inheritance, encapsulation, polymorphism, and interfaces. Players choose a character and weapon then fight through three levels of monsters with stat upgrades between rounds.
View on GitHub →Research Posters
Modeling of Large Scale Deportation in Urban Areas
This is a poster I created for DUCURS, a reserch conference at Drake Univeristy. The project was created in responce to the ICE raids that took place in January of 2026 in Minneapolis Minnesota. I wanted to unbiasedly show how effective this method of deportation is at redusing crime rates while taking into account the toll it takes on the comunity. Using data from a variaty of sources I was able to create a sophisticated simulation that produced meaningfull results.
Monte Carlo Simulations of Particle Trajectories in a Magnetic Field
Over the spring of 2026 I was the leader of the computational group sector of MISSFIT (Magneto-Ionization Spacecraft Sheild for Interplanetary Travel), a collaberative reaserch project at Drake University. We created this poster to showcase our work at DUCURS, a conference at Drake University, and plan to present at other conferences in the future.
Random Seach for Treasure on Conected Graphs
My partner and I created this poster for our mathematics capstone. Inspired by the classic graph theory game, cops and robbers, we created a game in which a hunter traverses a graph randomly untill treasure is found. I would like to work on this project further, testing our other parmaters and eventualy get a paper published.
Contact
Feel free to reach out regarding research, collaboration, or other opportunities.