Yilin Meng

About Yilin Meng

I am a computational chemist with experience in molecular modeling, statistical data analysis, and data visualization. Currently, my role is to support drug discovery teams using computational techniques such as molecular docking (protein-ligand and protein-protein), QSAR, molecular dynamics simulations, free energy calculations, quantum mechanical calculations, and more.

Experience

1. Senior Principal Scientist

   Bristol-Myers Squibb

   Jun 2024 — Present · Cambridge, MA, US

   Support small molecule (Rule-of-5 small molecule, PROTAC, molecular glue) drug discovery projects at various stages• Support Cereblon E3 Ligase Modulator (CELMoD), Antibody Drug conjugate (ADC), CAR-T therapy, and beyond-CRBN molecular glue platform works• Support new target assessment in multiple disease areas• Work independently and collaborately to implement and benchmark novel computational methodologies and tools related to drug discovery and to share learnings and best practices to the community

Education

• Dalian University of Technology

  B.E., Chemical Engineering

  1999 — 2004

• University of Florida

  Ph.D., Computational Chemistry

  2004 — 2010

Skills

• Statistics
• Computational Biology
• Drug Discovery
• Programming
• Openmp
• Bayesian Inference
• High Performance Computing
• Computational Chemistry
• Cheminformatics
• Biophysics
• Fortran
• Monte Carlo Simulation
• R
• Data Classification
• Drug Design
• Virtual Screening
• Principal Component Analysis
• Chemistry
• Protein Kinases
• Matlab
• Scientific Computing
• Mpi
• Regression Models
• Markov Models
• Molecular Dynamics
• Quantum Chemistry
• C++
• Molecular Modeling
• Unix Shell Scripting
• Python
• High Performance Computing (Hpc)
• Cluster Analysis
• Kinase Inhibitors