PARVATHY HARIKUMAR
Navan,MH
Summary
A dedicated professional with expertise in physics-based and mechanistic modelling, high-dimensional data analysis, and scientific programming using Python, FORTRAN, and C++. Proficient in developing computational workflows and applying machine learning techniques for scientific data analysis. Demonstrates strong leadership in science, with a deep understanding of the peer review process. Committed to model validation and reproducibility, complemented by skills in scientific illustration. Aspires to advance the integration of machine learning in scientific research to enhance data-driven insights.
Overview
10
10
years of professional experience
Work history
Postdoctoral Researcher – Computational Physics / Materials Science
Trinity College Dublin
Dublin, Ireland
2024.01 - 2025.12
- Performed computational modelling of more than 20 complex material systems to study structure–property relationships
- Analyzed large, high-dimensional datasets from simulations and experimental inputs
- Developed mechanistic models with strong emphasis on validation and physical interpretation
- Built reproducible coding workflows for data generation, processing, and analysis
- Integrated data-driven analysis with theoretical modelling to test research hypotheses
- Applied foundational machine learning methods for feature extraction and pattern identification
- Collaborated with international and interdisciplinary research teams under tight schedules and deadlines
Doctoral Researcher – Computational Materials Science (PhD in Physics)
Indira Gandhi Centre for Atomic Research
India, India
2016.01 - 2022.01
- Developed and validated multi-step models for electronic, magnetic, and transport properties
- Processed and analyzed large scientific datasets to extract meaningful trends
- Applied basic machine learning techniques to materials-related datasets
- Demonstrated strong problem decomposition and quantitative reasoning skills
- Published research in 5+ peer-reviewed journals and presented at more than 5 national and international conferences
- Tailored presentations for various audiences, increasing impact and comprehension.
Education
Master of Science - Physics
University of Madras
India /2013 - /2015
Bachelor of Science - Physics
Madras christian College
India /2010 - /2013
Skills
- Physics-based and mechanistic modelling
- High-dimensional data analysis
- Scientific programming (Python, FORTRAN, C)
- Computational workflow development
- Machine learning for scientific data analysis (foundational level)
- Model validation and reproducibility
- Scientific illustration
- Leadership in science
- Peer review process understanding
Timeline
Postdoctoral Researcher – Computational Physics / Materials Science
Trinity College Dublin
2024.01 - 2025.12
Doctoral Researcher – Computational Materials Science (PhD in Physics)
Indira Gandhi Centre for Atomic Research
2016.01 - 2022.01
Master of Science - Physics
University of Madras
/2013 - /2015
Bachelor of Science - Physics
Madras christian College
/2010 - /2013