Akshat Nigam
@akshatai.bsky.social
PhD student @Stanford CS. drug discovery; protein modeling & machine learning. BioX Fellow. Founder @Stealth.
2️⃣ Quantum vs. classical approaches: Could classical methods achieve similar results (e.g., Tartarus benchmarking)? Probably—but we observed something fascinating. More qubits in the quantum model improved its ability to generate stable, synthesizable molecules, suggesting better distb. modeling:
January 22, 2025 at 8:20 PM
2️⃣ Quantum vs. classical approaches: Could classical methods achieve similar results (e.g., Tartarus benchmarking)? Probably—but we observed something fascinating. More qubits in the quantum model improved its ability to generate stable, synthesizable molecules, suggesting better distb. modeling:
Excited to share our latest work, published this morning in Nature Biotechnology! 🎉 We developed a hybrid quantum computing-enhanced generative model to design KRAS inhibitors. Check it out here: rdcu.be/d68Fs.
Some fascinating insights along the way:
Some fascinating insights along the way:
January 22, 2025 at 8:17 PM
Excited to share our latest work, published this morning in Nature Biotechnology! 🎉 We developed a hybrid quantum computing-enhanced generative model to design KRAS inhibitors. Check it out here: rdcu.be/d68Fs.
Some fascinating insights along the way:
Some fascinating insights along the way:
🎉 Thrilled to share that I’ve successfully defended my PhD @Stanford! My thesis, "Machine Learning Approaches for Predicting Biological Function and Molecular Design," explores the intersection of ML, biology, and chemistry.
Some Highlights:
Some Highlights:
December 15, 2024 at 5:03 AM
🎉 Thrilled to share that I’ve successfully defended my PhD @Stanford! My thesis, "Machine Learning Approaches for Predicting Biological Function and Molecular Design," explores the intersection of ML, biology, and chemistry.
Some Highlights:
Some Highlights: