ISBIS StatFin 2026

7-11 December, 2026

The Eleventh Meeting on Statistical Methods in Finance (StatFin) will be held jointly with the 2026 Annual Meeting of the International Society for Business and Industrial Statistics (ISBIS). This joint initiative brings together researchers, academics, and practitioners working at the interface of artificial intelligence, data science, and statistics with applications to several domains that include, but are not limited to finance, marketing, supply chains, and other industry. The conference will run for 3 days, Dec 9 – 11. On Dec 7 - 8, we will run Short Courses. This joint conference is designed to promote focused discussions, cross-fertilisation of ideas, and active engagement between speakers and attendees across diverse conference themes, including statistical finance.

Each day will have one track devoted entirely to StatFin (statistical finance) talks, along with multiple parallel sessions covering a range of contemporary topics in business and industrial statistics, enabling participants to engage with research that closely aligns with their specific interests while benefiting from the broader joint meeting ecosystem.

The joint ISBIS & StatFin Conference will be jointly organised by the Chennai Mathematical Institute (CMI) and the International Society for Business and Industrial Statistics (ISBIS).

The meeting will be organised by

The logistic partner is AlgoLabs

Plenary Speakers

Francisco Louzada
University of São Paulo, Brazil

Reliability Engineering and Bayesian Statistical Methods

Rituparna Sen
Indian Statistical Institute, Bangalore, India

Functional Data Analysis and Applied Statistical Modeling

Nina Golyandina
St. Petersburg State University, Russia

Singular Spectrum Analysis and Nonparametric Time Series

Werner Müller
Johannes Kepler University Linz, Austria

Optimal Experimental Design and Spatial Statistics

Prithvijit Roy
Bridgei2i Analytics

Entrepreneur and Business Leader in AI and Data Science

Special Issue

We are happy to announce a Special Issue of the journal Applied Stochastic Models in Business and Industry (ASMBI), dedicated to the conference. This ASMBI special issue aims at publishing high quality contributions on the conference topics. Articles must present new methodology and/or insightful statistical analysis based on interesting data. Submissions are not restricted to papers presented at the conference, and anyone is welcome to submit manuscripts that are related to the conference topics.

All submissions will go through the standard, selective review process of ASMBI. Checkout the journal website: https://wiley.atyponrex.com/journal/ASMB

Submit a Paper for the Contributed Sessions

We invite submissions for contributed talks at ISBIS StatFin 2026.
Please submit your paper using the Google Form:

Submit your paper (Google Form)

All submissions will be reviewed by the Scientific Programme Committee (SPC). The SPC’s decision regarding acceptance and session allocation will be final.

Student Paper Competition

If you are a student and want your paper to be considered for the student paper competition, then ask your supervisor to send a mail at statfin@cmi.ac.in, with a particular mention that you were the primary contributor and author of the paper by August 15, 2026.

You must submit your paper by August 15, 2026, to be considered for the competition.

Invited Speakers

ID Name Affiliation Topic/Tentative Title
1 Dootika Vats IIT, Kanpur Bayesian Statistics
2 K G Arun CMI Bayesian Inference in Astro Physics
3 Ajit Mehta CMI Bayesian Inference in Astro Physics
4 Deborshee Sen Google, Bangalore Causal Inference in Marketing Analytics
5 Santosh Nair C5i/Analytic Edge Marketing Analytics
6 Sudhir Voleti ISB, Hyderabad Marketing Analytics
7 Dale Rosenthal Morgan Stanely/Parametric, Chicago Finance - Latent versus time series factor models and collinearity.
8 Sourav Majumdar IIT Kanpur Quantitative finance
9 Srinivas Pradeep Glencore, Netherlands
10 Nivedita Nadkarni National Law school, Bangalore Law, Statistics and Data Science
11 Bhargavi Zaveri The Profeseer Law, Statistics and Data Science
12 Shubvo Roy Shiv Nadar University Law, Statistics and Data Science
13 Dhiman Bhadra IIM Ahmedabad Copula based regression
14 Sudeep Bapat IIT Bombay
15 Santosh Sutar Shivaji Univ, Kolhapur
16 Asha Gopalakrishnan CUSAT
17 Tanmay Basu IISER Bhopal Statistical Image analysis
18 Raji Susan Mathew IISER, Thiruvananthapuram Statistical Image analysis
19 Areejit Samal IMSc, Chennai Financial time series
20 Sudheesh Kumar Kattumannil ISI, Chennai An alternative to Sharpe Ratio
21 Santosh Sutar Shivaji University, Kolhapur
22 Sitabhra Sinha IMSc, Chennai Quantifying systemic risk by inferring influence networks from financial market fluctuation cross-correlations
23 Moutushi Chatterjee ISI, Bangalore Application of statistical quality control techniques in air quality monitoring
24 Priyanka Majumdar IISER, Thiruvananthapuram Design of experiment issues in clinical trials,
25 Rakhi Singh IIT Madras Hyperparameter Optimization through Experimental Design
26 Shubho Bakar University of Sydney, Australia Health and medical sciences
27 Rohmatul Fajriya (Emma) UII (Indonesia)
28 Anirban Chakraborti JNU. Delhi Data Science of Sustainability and Climate Change.
29 Nova Ahmed North South University, Bangladesh Access to Fintech and Technology as a tool supporting Empowerment: based on Naila Kabwers theory
30 Suchitra Karunakaran AlgoLabs Automated Identification of Idols Using Image Analytics.
31 Tahir Ekin Texas State University, USA Fraud analytics and adversarial AI.
32 Bikraditya Dautta IIT Kanpur Money and Payment System
33 Smit Rohan NPCI Fraud-Aware Variational Autoencoders for Enhanced Latent Feature Augmentation in UPI Fraud Detection Systems.
34 N. Balakrishna IIT Tirupathi Time Series Analysis
35 Rahim Mahmoudvand Bu-Ali Sina University, Iran Time Series Analysis
36 T.V. Ramanathan Plaksha University Time Series Analysis
37 Suparna Biswas IISER Tirupati Risk modelling
38 Shyamal Ghosh IISER, Thiruvananthapuram Survival Analysis: A jackknife empirical likelihood ratio test for comparing two populations via harmonic mean residual life function.
39 Arjun Beri BNY Mellon, India Credit Risk Modelling.
40 Matilde Bini Universita Europea di Roma, Italy
41 Diganta Mukherjee ISI Kolkata Estimation problems in market microstructure.
42 Arshad Rahman IIT Kanpur Bayesian Econometrics
43 Rhythm Grover IIT Guwahati Robust parameter estimation of two-dimensional sinusoids.
44 Balaji Raman Cogitaas Statistics in Marketing
45 Ramasubramanian (Ramsu) Solus.ai
46 Bhargab Bhattacharya IIT Jodhpur Sequential Analysis, DoE
47 Eldho Varghese ICAR-Central Marine Fisheries Research Institute (CMFRI) AI applications in marine fisheries
48 Betty Gimenez French Institute of Pondichery Deep learning-based analysis of pollen to study vegetation dynamics in tropical forests of South India
49 Shyam D CMI Quantum Linear Algebra
50 Bijita Sharma CMI Quantum Machine Learning
51 Amiya Ranjan Bhowmik ICT, Mumbai Species Distribution Models for Predicting Invasive Alien Plant Species Dynamics in India: Insights from the ILORA Database
52 Pranabendu Mishra CMI Sequence Modelling using Deep Neural Networks
53 Alka Yadav University of Petroleum and Energy Studies (UPES), Dehradun Air Pollution Dynamics in Metropolitan Cities (India and other countries).
54 Parnil Mhatre Quantum four
55 Ori Davidov University of Haifa, Israel
55 Roshan Joseph Georgia Tech, USA
56 Amitabha Tripathi Aditya Birla Group
57 Shibasish Dasgupta TCG CREST, Kolkata
58 Ramseshan Ramchandran CMI Symbolic AI and Formal Methods in Natural Language Processing
59 Shashi Jain IISc Option overlay for tail risk optimization.
60 Ozan Turkey (yBIS) Medical AI applications
61 Rohmatul Fajriya (Ema) UII (Indonesia)
62 Sonali Das Univ of Pretoria, South Africa
63 Divya Andrews Pfizer
64 Debanjan Mitra IIM Udaipur Reliability
65 Anindya Goswami IISER Pune Finance, Discrete Time Series
66 Durba Bhattacharya St Xavier's College Bayesian Statistics
67 Nalini Ravishanker UCONN Time Series Analysis
68 Ananya Lahiri IIT Titupati Signal Processing
69 Betty Gimenez French Institute of Pondichery Plant science, Deep learning , Image data
70 Debasish Kundu IIT Kanpur Signal Processing
71 Koel Das IISER Kolkata
72 Sayantee Jana IIT Hyderabad.
73 Shyam CMI Quantum Computing
74 Amiya Ranjan Bhowmik ICT, Mumbai
75 Anuj Misra J&J State space model
76 Kiranmoy Das ISI, Kolkata Bayesian Modeling or Health Analytics or Psychometric modeling with Machine Learning.
77 Scott Holan Univ of Missouri Time Series
78 Rohan Chattre UConn Time Series
79 Himadri Mukherjee NPCI
80 Prakash Bade HSBC
81 Anant Somvanshi Vanguard, USA AI - Chain of Thought
82 Parush Arora Ashoka University Econometrics, Causal Inference
83 Utkarsh Kumar BITS, Pilani Economics and Finance
84 Shouvik Datta Data Scientist, Google, BLR Data Science
85 Prithvinath Prabhunath Co-founder, Head of Tech, Solytics partners Bayesian Statistics, LLM
86 Soham Raste Quant Analyst, Wells Fargo LLM, Data Science
87 Abhishek Bansal Wells Fargo, HYD Quantitative finance
88 Yutheeka Gadhyan Goldman Sachs, BLR Model Risk
89 Adhi Narayanan Y R Data Scientist, BNY, Chennai
90 Saparya Suresh IIM Kozhikode
91 Vikas Chaudhary Zenspera
92 Abhishek Bhattacharya Pfizer
93 Vaidyanathan V.S Pondycherry Univ
94 Arnab Hazra IIT Kanpur


Venue Chennai Mathematical Institute
H1-Sipcot IT Park, Siruseri,
Kelambakkam, Chennai
Tamil Nadu - 603103