Hello I'm Doron Czarny

Professional photo

Hi, I’m Doron Czarny

I’m a CS + Econ grad from Emory, originally from Berlin, Germany, and an incoming MSE student at UPenn specializing in Machine Learning/Systems.

This site showcases some of my projects and travel experiences. Reach out if you’d like to connect or learn more.

🔗 LinkedIn

Education

  • MSE in Computer Science – University of Pennsylvania (2025–2027)
  • B.S. Computer Science, B.A. Economics – Emory University (2021–2025)
  • GPA: 3.95 / 4.00, Phi Beta Kappa (top 10%), Multiple Dean’s Lists

Experience

  • Machine Learning Researcher – Goizueta Business School (2024–2025)
  • AI Software Engineering Intern – Liberty Advisor Group (2024)
  • Consulting Intern – Deloitte (2023)
  • Software Engineering Intern – Aldi Nord (2022)

Travel Adventures

Highschool Exchange in China

Me with my classmates!
Me with my classmates!
Making dumplings!
Making dumplings!
View from Shanghai Tower
View from Shanghai Tower
Calligraphy course!
Calligraphy course!

Kilimanjaro Climb with Father

Summit day!
Summit day!
Sunrise ascent
Sunrise ascent
Posing in the skies
Posing in the skies
Morning view
Morning view
Certificates
Certificates

Ecuador and Galapagos Island

Handstand in Quito!
Handstand in Quito!
Mitad Del Mundo
Mitad Del Mundo
Iguana skeleton
Iguana skeleton
Seal sleeping
Seal sleeping
Cave exploration
Cave exploration
Giant turtles
Giant turtles
Riding horses!
Riding horses!

Columbia

Medellin
Medellin
View from hike
View from hike
Bike race
Bike race
Hiking
Hiking
Soccer with locals
Soccer with locals

Japan

Meiji Shrine
Meiji Shrine
Mario World
Mario World
Osaka Castle
Osaka Castle
Nishi Temple
Nishi Temple
Senso-ji
Senso-ji

Australia

Scenic view
Scenic view
Ziplining
Ziplining
Albino kangaroo
Albino kangaroo
NYE Sydney
NYE Sydney

Hiking in Switzerland

Trail start
Trail start
Vineyards
Vineyards
Day 3
Day 3
Viewpoint
Viewpoint
Cave hike
Cave hike
Long bridge
Long bridge

Alps Skiing

Mountain view
Mountain view
On the lift
On the lift
Outdoor pool
Outdoor pool
Skiing!
Skiing!

Featured Projects

NLP Reddit analysis

NLP Reddit Stress Analysis

Description: Analyzed 147,000+ Reddit posts from 128 U.S. college communities to identify the root causes of student stress. Used a guided classification framework to group highly negative posts into themes like financial issues, academic pressure, and mental health.

Tech Stack: Python, spaCy, scikit-learn, BeautifulSoup, cardiffnlp/twitter-roberta-base

Read the Paper →
Atlanta startup dashboard screenshot

Startup Dashboard for the City of Atlanta (Mayor’s Office)

Description: Designed a dynamic dashboard for the City of Atlanta and Emory’s Center for AI to showcase the local startup ecosystem. Features include customizable scatter plots, an interactive heat map, and a searchable companies directory.

Tech Stack: TypeScript, React, Node.js, Express.js, AWS Redshift, DBeaver, Vercel
Note: The database connection has been removed as ownership and hosting were transferred to the City of Atlanta.

View GitHub Repo →

Unix Shell Interpreter

Description: Engineered a Unix shell in C supporting I/O redirection, background execution, and process management using system calls like fork, execvp, and dup2.

Tech Stack: C, Linux/Unix system calls

ICU 30-Day Mortality Predictor

Description: Built and tuned a logistic regression model using clinical time-series data. Achieved AUROC of 0.877 and F1 score of 0.512 on test set.

Tech Stack: Python, Pandas, scikit-learn, matplotlib

Dog Breed Predictor (Image Classification)

Description: Built and optimized a convolutional neural network to classify images of dog breeds. Experimented with dropout, weight decay, batch normalization, and activation functions (ReLU, leaky ReLU, tanh) to improve generalization and reduce overfitting.

Tech Stack: Python, PyTorch, TorchVision, NumPy, Matplotlib, scikit-image

Ghostbusters: Probabilistic Inference in Pacman

Description: Implemented exact and approximate inference (Bayes Nets, particle filters) to track invisible agents in a Pacman variant. Developed belief updates, time elapse prediction, and greedy decision strategies using noisy sensor data.

Tech Stack: Python

Quantum Fourier Transformation Experiments

Description: Simulated and executed quantum circuits to study frequency patterns using the Quantum Fourier Transformation. Compared simulated outcomes to real IBMQ hardware to analyze noise effects.
Tech Stack: Python, Qiskit, IBM Quantum