Cole
Andrae

AMPForge2

Generative deep learning model for de novo antimicrobial peptide design using a transformer architecture. Bridges CS and biology to tackle antibiotic resistance — learning sequence patterns from known AMPs to generate novel, therapeutically viable candidates.

Chess Engine

High-performance chess engine written from scratch in C++ — no AI copilot shortcuts. Implements bitboard representations, alpha-beta pruning with iterative deepening, and move ordering heuristics to maximize search speed and play strength.

MEDUSA

Convolutional Neural Network trained to classify X-rays and CT scans. Applies deep learning to diagnostic radiology — automating detection and classification of abnormalities from medical imaging data to assist clinical decision-making.

Reinforcement Learning Blog

A hands-on technical blog series exploring reinforcement learning from first principles. Covers core algorithms — Q-learning, policy gradients, PPO — with implemented examples and visual explanations to make RL intuitive and accessible.

Rubik's Cube

An interactive 3D Rubik's Cube built with Three.js — featuring smooth animations, intuitive controls, and a fully rendered cube in the browser. A deep dive into 3D graphics, geometry transformations, and real-time WebGL rendering.

Deep Learning Framework

Building a deep learning framework from scratch — implementing autograd, tensor operations, and common layer types without PyTorch or TensorFlow. A ground-up exploration of how modern ML frameworks actually work under the hood.

Skills &
Tools

My unique combination of CS and Biology gives me an edge in ML applications for life sciences — from protein design to medical imaging.

Languages: Python · TypeScript · C++ · R · Java
ML: PyTorch · TensorFlow · scikit-learn · HuggingFace
Bio: BioPython · RDKit · BLAST · UCSC Genome Browser
Tools: Git · Docker · Jupyter · AWS · GCP

Incoming 8-month intern on the Quality, Validation & Standards team. Building AI/ML tooling to improve game quality pipelines.

Developing ML-based classification models for chemical compound identification using NMR spectroscopy. Building automated normalization pipelines for spectral data analysis and collaborating on computational chemistry research applications.

Fourth-year student. Focus on ML, bioinformatics, and computational biology. Bridging software systems with life sciences.