I am Venkatesan Saravanan, a dedicated and passionate computational chemist with a robust background in molecular modeling, quantum chemistry, and computational drug design. With a Ph.D. in Computational Chemistry and a specialized focus on cancer therapy, I am deeply passionate about integrating Machine Learning (ML) techniques into scientific methods.

Technical Proficiency

Programming & Tools: Proficient in Python, Cloud Computing, MATLAB, and a diverse range of computational packages, including AMBER, Terachem, NWchem, Maestro, VMD, GROMACS, RDkit, and Quantum Espresso.

Computational Techniques: Skilled in Molecular Docking, Molecular Simulation, and Computer-aided Drug Design.

Machine Learning: Enthusiastic about applying ML techniques to enhance scientific research and drug discovery.

Educational Background

Ph.D. in Computational Chemistry: Focused on leveraging advanced computational techniques for cancer therapy research.

Master's Degrees: Theoretical and Computational Chemistry from SRM Institute of Science and Technology and Medical Biotechnologies from the University of Eastern Piedmont, Italy.

Certification in Machine Learning from Stanford University

Data Analytics Certification: Currently acquiring a Data Analytics Professional Certification to further innovate at the intersection of computational chemistry and data analytics.

Research & Experience

With deep-seated expertise in structure-based drug discovery, quantum mechanics, and molecular dynamics simulations, I have contributed to several interdisciplinary projects. My work in computational drug design has accelerated the discovery of novel compounds, pushing the boundaries of pharmaceutical research.

Academic Experience

1. International Fellow—National Centre for High Performance Computing, Hsinchu, Taiwan.

2. Research Scholar - SRM Institute of Science and Technology, Kattankalathur, India.

3. Assistant Professor - Saveetha Institute of Medical and Technical Sciences, Chennai, India.

Professional Aspirations

Driven by passion and equipped with a comprehensive skill set, I aspire to transition into a role as an R&D scientist in Machine Learning or Computational Chemistry post-Ph.D. My goal is to leverage my skills to contribute to groundbreaking research and development in the pharmaceutical and chemical industries. I am particularly interested in roles that allow me to collaborate with multidisciplinary teams and apply my expertise to real-world challenges.

Personal Attributes

Analytical Thinker: I possess a strong analytical mindset, enabling me to dissect complex problems and devise innovative solutions.

Collaborative Team Player: I thrive in collaborative environments, valuing the diverse perspectives and expertise of my colleagues.Lifelong Learner: Committed to continuous learning, I stay updated with the latest advancements in computational chemistry, machine learning, and related fields.