Looking to Join or Form a Team – GIC 2026 (US Federal Agency (Confidential) / qBraid, MITRE & JonesTrading)

Hi everyone, my name is Van Tien Nguyen. I am a Ph.D. student in Electrical Engineering at UTSA working in quantum computing, machine learning, and quantum machine learning.

My email: tien.nguyen@utsa.com.

Timezone: Central Time (US)

Current teammates: 0 (currently looking to join or build a team)

I’m looking to join or form a team for:

My background includes hybrid quantum-classical methods, quantum optimization, tensor methods, and ML, and I’m comfortable with Python, Qiskit, Pennyland, benchmarking, and building technically grounded solution plans with classical baselines. I’m especially interested in working with teammates who bring quantum, optimization, ML, finance/industry, or strong application-domain expertise and want to build a credible, high-quality submission.

Please reach out if you are looking for a teammate or want to form a team together!

Hi everyone — I’m looking to team up for the Dynamic Systems Forecasting (QRC) challenge.

I’m interested in building a quantum reservoir computing model for financial volatility forecasting, benchmarking it against classical ML models and testing across qubit counts and noise scenarios.

My background is in AI, quantum computing, and financial systems, and I’m comfortable working with hybrid quantum-classical stacks.

If anyone is interested in collaborating, feel free to reply here or connect with me on LinkedIn.