I'm a passionate PhD Candidate in Chemical Engineering at the University of Michigan, Ann Arbor. My journey in science is driven by an insatiable curiosity and a love for solving complex problems.

My research interests are as diverse as they are deep, spanning:

• 🧠 Explainable Machine Learning
• 🔬 Density Functional Theory
• 🌀 Molecular Dynamics Simulations
• 🎲 Monte Carlo Simulations
• 🔮 Deep Learning Interatomic Potentials for Simulations

I'm particularly excited about applying these techniques to advance our fundamental understanding of catalysis at the atomic scale and to accelerate the discovery of high-performance materials through high-throughput screening.

• 🚀 A Self-driven Theoretical and Computational Scientist
• 💡 5+ years of experience in quantum modeling of chemical systems
• 💻 Expert in computer programming (Python) and high-performance computing
• 📊 Skilled in complex data analysis and modeling
• 🧪 Specializing in chemical informatics, computational design, and machine learning in chemistry

• Python (Advanced)
• Unix/Linux shell scripting
• Git version control
• TensorFlow, Keras, Scikit-Learn
• Pandas, Seaborn, SciPy, ASE

• VASP (https://www.vasp.at/)
• CP2K (https://www.cp2k.org/)
• LASP (http://lasphub.com/#/lasp/laspHome)
• DeePMD-kit (https://github.com/deepmodeling/deepmd-kit)
• LAMMPS (https://www.lammps.org/)

• 📧 Email: [email protected]
• 💼 LinkedIn: Chenggong Jiang

• 🏃‍♂️ When I'm not decoding the mysteries of catalysis, you can find me running algorithms... I mean, running in the park!
• 🎸 I believe in the superposition of states - I'm simultaneously a scientist and a wannabe rock star.
• 🍳 I apply my love for experimentation in the kitchen too. My specialty? Quantum Quiche!

"In the world of atoms and algorithms, curiosity is my catalyst, and perseverance is my reaction mechanism!"

Always eager to learn, collaborate, and push the boundaries of science. Let's change the world, one molecule at a time! 🌍🔬