Linus (Kin Hei) Chik

Nanyang Technological University — B.Comp. in Computer Science

St. Paul's College Hong Kong

4 A* in Edexcel International A-Levels (Mathematics, Further Mathematics, Physics, Chemistry)

Tacit Collusion in LLM Bidders

Python, pytest · github.com/linusc9516/bid-pricing-collusion

• Conceived the study and built its auction harness: does letting LLM firms communicate raise prices? Four pre-registered arms: no channel, private notes, a shared workspace, an open message channel.
• Ran a pre-registered no-channel baseline of 48 sessions (2 models, 12 seeds, 50 rounds), each matched with a one-shot control. With history, DeepSeek V4.1 Flash bid about 1 to 2.3 below the Bayes-Nash bid by round 50 and GPT-6 Luna about 6 above it; neither control drifted.
• Merged a collaborator's shared-workspace and message-channel code, then built the private-notes control as a one-switch variant of it, with a log check that no prompt shows a firm the other's notes.
• Pre-registered two hypotheses in configs/analysis.yaml before any session ran (paired exact sign-flip tests, Holm-corrected) and ran 24 GPT-6 Luna notes sessions. Analysis in progress.

International Olympiad in AI (IOAI) 2025

PyTorch, NumPy, scikit-learn

• Placed 2nd on a segmentation task with a PyTorch model that handled a 50× class imbalance, raising accuracy on the critical human/wall classes by 37% through data augmentation and tuned CrossEntropyLoss weights.
• Solved 6 machine learning tasks (NLP, CV, deep learning) solo in a 2-day contest under 12-hour time and memory limits.
• Delivered a pick-and-place pipeline for the Galbot G1 robot with a team in a MuJoCo simulation, using A* path planning and inverse kinematics to navigate obstacles and organise objects on shelves.

Soular

React Native, TypeScript, Supabase · github.com/endernoke/soular

• Built a full-stack React Native app with a team to help users discover environmental initiatives, with an AI assistant and a carbon footprint calculator.
• Cut average post load time by 46% for 100+ concurrent users (Supabase queries, client-side caching) and Android build times by 65% (Expo and Gradle).

Ulcerative Colitis Detector

PyTorch, ResNet, Flask, TorchScript · github.com/linusc9516/UC_Classifier

• Reached 96% validation accuracy on 11,000+ colonoscopy images by fine-tuning ResNet18 with augmentation, weighted sampling and staged unfreezing.
• Built a Flask app for multi-image upload and real-time inference that aggregates predictions into a risk rating, with the model traced to TorchScript for CPU deployment.

ARENA

Completed Fundamentals and Evals chapters; working through Interpretability

CS50x: Introduction to Computer Science — HarvardX

Bronze Medal, IOAI 2025

Top score of 99.62 on one task; Gold Award at the Hong Kong qualifier

2nd Place and Innovation Award, JA Code for Impact

Soular