Open to opportunities

ANAND SHARMA

@anandsharma4

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Aspiring physicist with expertise in machine learning and Data Science. Passionate for teaching.

Luxembourg

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What I'm looking for

I seek a role that fosters innovation and allows for continuous learning in a collaborative environment.

As a fifth-year BS-MS student at the Indian Institute of Science Education and Research, Pune, I have developed a strong foundation in physics, complemented by extensive research experience in machine learning applications. My work includes benchmarking machine learning force fields and exploring causal inference methods in glassy dynamics, showcasing my ability to merge theoretical knowledge with practical applications.

Throughout my academic journey, I have presented my research at international conferences and contributed to publications that highlight my findings in structural features relevant to glassy dynamics. My passion for physics is matched by my commitment to teaching, as demonstrated through my involvement in the Shiksha Sambhal Programme, where I taught high school students and fostered a scientific mindset.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Force Fields

Current

University of Luxembourg

Apr 2025 - Present (3 months)

Working on Benchmarking and Developming of So3LR model for accurate force and potential prediction using Machine learning Force Field. Predicting new molecules using So3LR.

Machine Learning So3LR Model Molecular Prediction Benchmarking

Current

Studying Multicollinearity in Glassy Dynamics Prediction

Current

LIPhy, University of Grenoble Alpes

Oct 2024 - Present (9 months)

Exploring methods in causal inference and multicollinearity. Investigating feature importance by reducing multicollinearity.

Causal Inference Multicollinearity Feature Importance Data Analysis Statistical Modeling

Selecting Relevant Structural Features by Information Imbalance

Laboratory for Interdisciplinary Physics (LIPhy), University

Jun 2024 - Present (1 year 1 month)

Implemented Information Imbalance on glassy systems. Selected relevant features for glassy dynamics using similarity between data distributions.

Information Imbalance Glassy Systems Data Distributions Machine Learning

Predicting Glassy Dynamics using Normal and Swap Monte Carlo

Laboratory for Interdisciplinary Physics (LIPhy), University

Apr 2024 - Present (1 year 3 months)

Studied Glass Transition theory and current developments. Applied Regression and Neural Network methods to study structure-dynamics relations.

Glass Transition Theory Neural Networks Structure Dynamics Relations

Neural Networks and Deep Learning

Laboratory for Interdisciplinary Physics (LIPhy), University

Dec 2023 - Present (1 year 7 months)

Studied fundamental principles of deep learning. Implemented techniques to optimize neural networks.

Deep Learning Neural Networks Optimization Machine Learning Python

3-D Ising Model with Spin-Flip Disorder

Indian Institute of Technology (BHU)

Sep 2023 - Present (1 year 10 months)

Modeled spin-flip disorder in 3-D Ising Model. Analyzed dynamical scaling, interface roughness, and growth exponent.

Ising Model Spin Flip Disorder Interface Roughness Long Range Interactions

Phase Transition in Ising Magnets

Indian Institute of Technology (BHU)

May 2023 - Present (2 years 2 months)

Studied thermodynamic principles of phase transitions, focusing on second-order transitions. Analyzed phase transition from ferromagnetism to paramagnetism using statistical mechanics.

Phase Transitions Thermodynamic Principles Statistical Mechanics Ising Model

Shiksha Sambhal Programme

Vidya Bhawan Society

Dec 2022 - Present (2 years 7 months)

Taught Maths and Physics to high school students. Encouraged scientific temper among students.

Teaching Mathematics Education Mentoring

Research Methodology in Theoretical Physics

IISER Pune

Sep 2022 - Present (2 years 10 months)

Reviewed chapters from “Nature’s Pattern: a Tapestry in Three Parts” by Philip Ball. Studied ice-crystal growth, morphological complexities, and fluid research methodologies.

Theoretical Physics Research Methodology Ice Crystal Growth

Education

Degrees, certifications, and relevant coursework

Indian Institute of Science Education and Research, Pune

BS-MS, Physics

Currently pursuing a BS-MS in Physics, focusing on advanced concepts in theoretical and experimental physics. Engaged in various research projects and coursework to develop a strong foundation in scientific inquiry.

Kendriya Vidyalaya Jhalawar

School Education, General Studies

Completed primary and secondary education, building foundational knowledge across various subjects. Participated in school activities and prepared for higher education.