About

I am a postdoctoral research fellow at the Institut de Mathématiques de Marseille (I2M), Aix-Marseille Université, in the Groupe Mathématiques de l’Aléatoire, working with Professor Anna Dudek.

I develop statistical models for analysing non-stationary biological signals. Before Marseille, I was a postdoc in the Biostatistics Group at KAUST with Professor Hernando Ombao, where I worked on classification and dependence analysis of high-dimensional time series, with applications to neuroimaging. I received my Ph.D. in Statistics from IIT Kanpur, with a thesis on distance-based classifiers for high-dimensional data.

Research interests

• Statistical pattern recognition
• High-dimensional asymptotics
• Nonparametric methods
• Time series
• Functional data
• Changepoint detection
• Variable clustering
• Robust statistics
• Neuroimaging

Talks

1. Dec 2024
   Interpretable classification of high-dimensional time series in spectral domainInternational Indian Statistical Association Conference, Kochi, India
2. Oct 2024
   Classification of high-dimensional time series in spectral domain using explainable featuresResearch Presentation Series, KAUST ASA Student Chapter
3. Sep 2023
   Robust classification of high-dimensional data using data-adaptive energy distanceECML PKDD, Torino, Italy
4. Aug 2023
   On the use of inverse spectral density matrices for classifying high-dimensional time seriesJoint Statistical Meetings, Toronto, Canada
5. Mar 2022
   On some fast and robust classifiers for high dimension, low sample size dataAISTATS 2022, Valencia, Spain
6. Dec 2019
   Adjustments of the nearest neighbor classifier in HDLSS settingsInnovations in Data and Statistical Sciences, Mumbai, India
7. Aug 2019
   Adjustments of the nearest neighbor classifier in HDLSS settings62nd ISI World Statistics Congress, Kuala Lumpur, Malaysia
8. Jan 2013
   A revisit to Tukey’s ninther method of finding a low-effort robust estimator of location in large samples100th Indian Science Congress, Kolkata, India

Research visits

• Department of Mathematics, University of Hamburg, Germany Feb 2025
• Institute for Mathematical Stochastics, Otto von Guericke University Magdeburg, Germany Jan–Feb 2025
• Department of Biological Sciences and Bioengineering, IIT Kanpur, India Dec 2024

Teaching & mentoring

Experience & education

1. Mar 2026 – now
   Postdoctoral Research FellowI2M, Aix-Marseille Université, France
2. Jan 2023 – Jan 2026
   Postdoctoral ResearcherBiostatistics Group, CEMSE, KAUST, Saudi Arabia
3. 2022
   Visiting ScientistTheoretical Statistics and Mathematics Unit, ISI Delhi
4. 2022
   Project Research AssistantDepartment of Mathematics, IIT Bombay: bootstrapping regression models
5. 2016 – 2022
   Ph.D. in StatisticsIIT Kanpur. Thesis: On Some Modifications of Distance Based Classifiers for High-Dimensional Data
6. 2015 – 2016
   Project Linked PersonSampling and Official Statistics Unit, ISI Kolkata: demand estimation for banknotes and coins (RBI)
7. 2014 – 2015
   EconometricianBravo Lucy AS: probabilistic models for sports betting odds, video analytics
8. 2012 – 2014
   M.Sc. in StatisticsIIT Kanpur
9. 2009 – 2012
   B.Sc. in StatisticsUniversity of Calcutta

Awards & fellowships

• Travel support, Indian Association for Statistics in Clinical Trials 2019
• Asian Development Bank travel funding, ISI World Statistics Congress 2019
• Institute fellowship for Ph.D., IIT Kanpur 2016–2022
• INSPIRE scholarship, Department of Science & Technology, Govt. of India 2009–2014

Resources

Links I have found useful.

• Parallel computing in R (video)
• Nested loops with foreach in R
• A clear introduction to Dynamic Time Warping
• Understanding wavelets (Artem Kirsanov)