New York City Metropolitan Area
Research interests: • Signal Transduction, G Protein-Coupled Receptors, Molecular Pharmacology, Drug Discovery • Cancer, Genetics, Cell Biology, Metabolism • Visual System, Sensory Neuroscience • Chemical Biology, Genetic Code Expansion, Bioorthogonal Chemistry • Computational Biophysics, Molecular Dynamics, Docking, Free Energy Calculations • Biomembranes, Membrane Proteins, Physical Biochemistry, Spectroscopy • Single-molecule fluorescence, Fluorescence Labeling, Automated Microscopy, Engineering Other Qualifications: • Computational chemistry (namd, OpenMM, gromacs, Schrodinger suite, charmm, amber, gamess); programming languages (fluent: python, C++; proficient: java, Fortran, VBA); parallel computing (MPI, OpenMP, AWS); probabilistic programming (Mathematica; Bayesian modeling: PyMC; Markov state models: Enspara); visualization (python: Matplotlib, Seaborn, HoloViz; molecular: VMD, PyMOL; graphing: Microcal Origin, GraphPad Prism); automation (LabView, MicroManager); image analysis (Matlab, ImageJ/Fiji); machine learning (scikit-learn, PyTorch, TensorFlow, ollama LLMs); bioinformatics (general: MacVector; database mining: NCBI API; single-cell transcriptomics: Scanpy); productivity (Office suite, EndNote, ChemDraw, Adobe Illustrator/Photoshop) • Residential School on Medicinal Chemistry and Biology in Drug Discovery, Drew University 6/2022 • Schrödinger course certificates (Introduction to Molecular Modeling in Drug Discovery 5/2022, Introduction to Computational Antibody Engineering 6/2022, High-Throughput Virtual Screening for Hit Finding and Evaluation 9/2022) • Collaborative Institutional Training Initiative (CITI) Program certifications (2015-2024) for Basic Course, Human Research and Good Clinical Practices (GCP) Teaching experience: Seminar group leader within the program of preclinical education for medical students covering the entire field of Medical Biochemistry (72 hours per year), Institute for Physiological Chemistry, University of Munich.