CV
You can Download pdf version of my cv.
Education
- 2018 - 2024 Ph.D. in Bioinformatics
- IIIT-H, Hyderabad, India, (expected in 2024)
- 2010 - 2015 B.Tech + M.Tech. (Integrated) in Biotechnology
- Dr. D.Y. Patil School of Biotechnology and Bioinformatics, Mumbai, India.
Research experience
- 2018 - 2024: Ph.D. Scholar
- 2015 - 2017: Junior Research Fellow (JRF).
- IIIT-H, Hyderabad, India
- Duties included: Development and testing of scripts and algorithms for the Computational Core for Plant Metabolomics (CCPM) web application.
- Funded by DBT Govt of India.
- Supervisor: Prof. Abhijit Mitra, Dr. Nita Parekh, et. al.
- 2015: Research Assistant (6 Months) (M.Tech. Thesis)
- Board of Radiation & Isotope Technology (BRIT-BARC), Navi Mumbai, India.
- Duties included: Conducted a research study on the use of 5MeV Electron Beam (EB) treatment for commercial sterilization of lab plastic consumables and depyrogenation of glass vials. Successfully stored basa fish at 3°C using EB treatment, resulting in lower storage costs and power consumption.
- Supervisor: Dr. K.P. Rawat and Dr. Chanda Arjun.
Publications
- You can find my publications on Google Scholar or Publication page
Skills
- Computational chemistry software
- RDKit, ASE, CHARMM & CHARMM-GUI, NAMD, Gaussian, Packmol, Avogadro.
- Computational chemistry methods
- Molecular dynamics (MD), Replica Exchange Molecular Dynamics (REMD).
- Programming skills
- Python, R, PyTorch, L A TEX, Basic knowledge C/C++, Perl, Bash, UNIX.
- Visualization and plotting tools
- VMD, GaussView, Gnuplot, Matplotlib (python).
- Databases and Web Dev
- Basic knowledge of Mysql, sqlite. Html, css, JavaScript, Apache Web Server.
- Soft skills
- Academic research, writing research papers, mentoring students, teaching, and consultation. Good communication skills (gave presentations, posters and talks in various conferences).
- Languages
- English, Hindi and Marathi (can read, write and speak). Telugu and Kannada (can speak).
Invited Talks
- Machine Learning for Molecular Sciences (ML4Science), “MeGen: Generation of Gallium Metal Clusters Using Reinforcement Learning”, Kodaikanal, 2023.
- Molecular Simulation: Focus on Method, “OptNet: Molecular Geometry Optimization Using Reinforcement Learning”, TIFR, Hyderabad , India, 2022.
Honors and Awards
- Awarded the prize for best method in a machine learning hackathon focused on property prediction using SMILES at the ML4Science-2023 Meeting.
- Awarded four year scholarship for Ph.D. by TCS Research Scholar Program (RSP) 2019.
- Qualified GATE-2015 in biotechnology.
Teaching
- Data Driven Drug Discovery
- Provide study materials, Tutorials instructor, Exam and Project grading, Office hours.
- Advanced Biomolecular Architecture
- Provide study materials, Suggest questions for weekly tests, Test, Assignment and Exam grading.
- Introduction to Biology
- Provide study materials, Suggest questions for exams, Assignment and Exam grading
Scientific Meetings Organised
- Member of organising team, “Machine Learning for Molecular Sciences (ML4Science)” Held in 2023, Kodaikanal.
- Member of organising team, “Machine Learning for Science: Symposium and Discussion Meeting” Held in Nov 2019, IIIT Hyderabad
- Member of organising team, INDO-GERMAN Workshop on “Computing in Chemistry, Biology and Medicine” Held in Nov 2017, IIIT Hyderabad.
- Member of organising team, CCPM Workshop 6 “Conversation with Experimentalists” held in Feb 2016, IIIT-Hyderabad.