Rahul Bordoloi

Rahul Bordoloi

Research Assistant & PhD Candidate in Machine Learning

Rostock, DE.

About

PhD Candidate and Research Assistant specializing in advanced machine learning for partially-observed time-series data, with a strong focus on developing interpretable and explainable AI systems. Passionate about bridging mathematical methodologies with biomedical research to create trustworthy, automated solutions that enhance medical decision-making and provide transparent insights.

Work

University of Rostock

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PhD Student & Research Assistant

Rostock, Mecklenburg-Vorpommern, Germany

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Summary

Leading advanced research in machine learning for partially-observed time-series data, focusing on interpretable AI systems for biomedical applications.

Highlights

Leading cutting-edge doctoral research on 'Methodological and Theoretical Advances in Feature Extraction and Classification for Partially-Observed Time Series,' aiming to enhance model interpretability and real-world applicability.

Developing novel machine learning algorithms to effectively address challenges in missing data and irregular sequence lengths within complex multivariate time-series datasets.

Pioneering contributions to the field of interpretable and explainable AI, specifically designing systems to support robust medical decision-making through transparent and reliable insights.

Université de Lille and ONCOLille

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Research Intern

Lille, Hauts-de-France, France

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Summary

Investigated Graph Attention Networks for predicting temporal evolution of spatial transcriptomics data, funded by Technogie d'Avenir 2025.

Highlights

Achieved a 20% improvement in Haussdorf distance for 1-step evolution over State-of-the-Art (SOTA) methods, significantly enhancing prediction accuracy for spatial transcriptomics data.

Applied advanced Graph Attention Networks to model and predict complex temporal evolution in biological datasets, demonstrating expertise in deep learning and biomedical informatics.

Secured competitive funding through the Technogie d'Avenir 2025 program and the Ambassade de France en Allemagne to conduct impactful research abroad.

IISER Kolkata

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Teaching Assistant for Introduction to Computation

Kolkata, West Bengal, India

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Summary

Provided comprehensive academic support for undergraduate students in Python and numerical techniques, totaling approximately 128 hours.

Highlights

Tutored over 100 second-year undergraduate (BS-MS) students in Python programming and numerical techniques, significantly improving their foundational computational skills.

Developed and delivered engaging sessions on root finding methods and numerical integration, leading to enhanced student comprehension and problem-solving abilities.

Provided approximately 128 hours of direct instructional and academic support across two academic periods (July 2021 & January-April 2023).

IISER Kolkata

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Teaching Assistant for Programming and Data Structures

Kolkata, West Bengal, India

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Summary

Supported third-year undergraduate students in C programming and data structures, providing approximately 64 hours of instruction.

Highlights

Guided over 50 third-year undergraduate (BS-MS) students in C programming, fostering a strong understanding of core programming concepts and efficient coding practices.

Instructed students on the construction and practical application of fundamental data structures, including Linked Lists and Stacks, using pointers.

Delivered approximately 64 hours of specialized teaching and support during the August-November 2022 semester, contributing to improved student performance.

Volunteer

Volunteer Computer Science Educator

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Ek Pehal

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Provided computer science education to underserved youth, fostering foundational technical skills and digital literacy.

Highlights

Dedicated approximately 50 hours to educating underserved youth in computer science fundamentals, promoting digital literacy and technical skill development.

Designed and delivered engaging lessons on basic computer science concepts, empowering students with valuable knowledge for future academic and career pursuits.

Organizational Committee Member

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Inventa (inter-IISER Science Communication Platform)

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Coordinated and managed activities for an inter-IISER science communication platform to foster scientific discourse.

Highlights

Co-organized and managed the inter-IISER Science Communication Platform, Inventa, fostering scientific discourse and engagement for two consecutive years (2020, 2021).

Facilitated numerous science communication events, enhancing public understanding and collaboration across multiple IISER institutions.

Website Head

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IISER Kolkata's Science Communication Platform - Cogito

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Led web development and content management for the university's science communication platform, ensuring effective digital outreach.

Highlights

Led the development and maintenance of Cogito's website, contributing approximately 300 hours to enhance the platform's digital presence and user experience.

Managed online content and technical infrastructure, ensuring seamless operation for science communication initiatives.

Education

Indian Institute of Science Education and Research, Kolkata

Kolkata, West Bengal, India
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BS-MS Dual Degree Mathematics (Statistics Focus) Grade: 8.65/10 CGPA

Courses

Minored in Computational and Data Sciences, gaining expertise in advanced analytical and programming methodologies.

Developed a fast exponential algorithm maximizing Nash Welfare for Fair Division of Indivisible Goods as a Master's Project.

IIIT Bangalore

Bangalore, Karnataka, India
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Summer School Algorithm Complexity Analysis, Graph Algorithms

Courses

Completed intensive coursework on algorithm complexity analysis, with a special focus on graph algorithms.

Don Bosco School, Guwahati

Guwahati, Assam, India
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All India Senior School Certificate Examination Physics, Chemistry, Mathematics, Computer Science, English, Physical Education Grade: 91.33%

Awards

Technologies of the Future Scholarship

Ambassade de France en Allemagne

Recipient of a EUR 1700 scholarship for 2 months, awarded to 5 PhD students in Germany for a research exchange in France.

Abbe Grant

Carl-Zeiss Stiftung

Awarded for participation in the 11th Heidelberg Research Forum.

All India Rank 24 in GATE Statistics

GATE (Graduate Aptitude Test in Engineering)

Achieved a top 0.1% rank in a highly competitive national examination for postgraduate admissions.

Publications

Anomaly Detection via Mean Shift Density Enhancement

Under Review (arXiv)

Investigated mean shift-based anomaly detection, developing a robust detection framework effective across varied anomaly types and noise conditions.

Multivariate Functional Linear Discriminant Analysis for Partially-Observed Time Series

Machine Learning

Developed MUDRA, a multivariate FLDA method with an efficient ECM algorithm, significantly improving feature extraction on partially observed multivariate time-series data by integrating downstream classification objectives.

Handling Missing Data in Downstream Tasks with Distribution-Preserving Guarantees

Under Review (arXiv)

Developed an imputation framework that accounts for downstream tasks by iteratively improving kNN-based imputations through online learning, with theoretical guarantees for preserving data distributions.

FUSE: Fast Semi-Supervised Node Embedding Learning via Structural and Label-Aware Optimization

Under Review (arXiv)

Developed a fast semi-supervised graph embedding framework achieving state-of-the-art accuracy and superior computational efficiency for node classification in networks without node attributes.

Skills

Programming Languages

Python (Tensorflow, Pytorch, JAX, statsmodels, networkx), C, C++.

Databases

SQL, MongoDB, NoSQL.

Tools & Platforms

Docker, LaTeX, Git.

Machine Learning & AI

Time-Series Analysis, Functional Data Analysis, Interpretable AI (XAI), Explainable AI, Anomaly Detection, Graph Neural Networks (GNNs), Deep Learning, Semi-Supervised Learning, Feature Extraction, Classification, Imputation, Density Estimation, Statistical Modeling, Algorithm Development, Model Interpretability.

Data Science & Analytics

Data Preprocessing, Statistical Analysis, Quantitative Research, Scientific Computing, Data Visualization.

Research & Academic

Scientific Writing, Peer Review, Grant Writing, Academic Presentations, Technical Documentation.

References

Prof. Dr. Olaf Wolkenhauer

PhD Supervisor, Full Professor, Department of Systems Biology and Bioinformatics, Institute of Computer Science, University of Rostock. Email: olaf.wolkenhauer@uni-rostock.de

Dr. Clémence Réda

Co-supervisor / Co-author, Chargé de recherche, Institut de Biologie de l'École Normale Supérieure. Email: reda@bio.ens.psl.eu

Pr. Sophie Dabo

Internship Supervisor, Full Professor in Applied Mathematics, Inria - Modal - Université de Lille. Email: sophie.dabo@univ-lille.fr