Ayan Mitra

I am a Pipeline Scientist for the LSST Dark Energy Science Collaboration and a CAPS Fellow at the National Center for Supercomputing Applications, University of Illinois Urbana Champaign. I develop reliable scientific workflows for supernova cosmology, time domain analysis, machine learning, and statistical inference.

My work connects realistic simulations, data validation, photometric classification, uncertainty propagation, bias correction, and cosmological parameter estimation across large computing systems.

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News

Nov 2026Awarded $50,000 in Claude credits through Anthropic's AI for Science program

Oct 2026Awarded 1,500 GPU hours on NCSA DeltaAI through an NSF ACCESS Explore allocation (PI)

Oct 2026Gave a seminar at the Boston University HET/Cosmo Seminar

2026Appointed as Panel Member for the NOIRLab Time Allocation Committee (2026B)

2025–2026Awarded ACME-TNA Grant

Jul 2026Fully photometric LSST supernova cosmology analysis published in The Astrophysical Journal

2026FlowSN published in Monthly Notices of the Royal Astronomical Society

2026Joint cosmological probes study with Srinivasan Raghunathan published in The Astrophysical Journal

2026Recognized as an LSST DESC Builder

Current Research

The Astrophysical Journal · 2026

A Fully Photometric Approach to Type Ia Supernova Cosmology in the LSST Era

A complete cosmology analysis using photometrically classified Type Ia supernovae, host galaxy photometric redshifts, realistic contamination, and bias corrections.

The Astrophysical Journal · 2026

Probing Physics beyond the Standard Model through Combined Analyses of Next Generation Type Ia Supernova, Cosmic Microwave Background, and Baryon Acoustic Oscillation Surveys

Work led by Srinivasan Raghunathan combining Type Ia supernova, cosmic microwave background, and baryon acoustic oscillation measurements.

Monthly Notices of the Royal Astronomical Society · 2026

FlowSN: Neural Simulation Based Inference under Realistic Selection Effects Applied to Supernova Cosmology

A neural simulation based inference framework for supernova cosmology that models realistic survey selection effects.

Software and Projects

All public repositories

Agentic AI

Supernova Pipeline Operations Assistant

An operations assistant for scientific pipelines that diagnoses configuration, memory, stale lock, and scheduler problems while tracing answers to curated sources.

Source grounded diagnostics

Cosmology inference

Firecrown Wrapper

A Python workflow connecting Firecrown and CosmoSIS from Hubble diagram inputs through parameter estimation, post processing, and structured summaries.

Tested workflow

Scientific machine learning

Supernova Gravitational Wave Classifier

A runnable convolutional neural network and interactive demonstration for classifying nuclear equation of state from simulated gravitational wave signals.

86.5 percent held out accuracy

Research software

SCONE Tools

Extraction, indexed lookup, and visualization utilities for neural supernova classifier heatmaps and data products across large simulated samples.

Million event scale

Document AI

AMF Document Structure Extraction

A document hierarchy pipeline for detecting table of contents sections in financial PDFs using layout features, LightGBM, and document aware validation.

Grouped validation

Computer vision

Valeo Industrial Computer Vision

Industrial defect classification using ResNet, ConvNeXt, focal loss, fold based evaluation, and test time augmentation for noisy camera data.

High resolution imaging

Recommender systems

HrFlow Job Recommendation

A sequential recommendation and natural language pipeline for candidate navigation, job retrieval, reranking, and apply versus view prediction.

21,917 candidate jobs

Time series forecasting

SNCF Waiting Time Forecasting

Rail platform waiting time forecasting with temporal feature engineering, gradient boosted ensembles, and out of time validation.

Chronological evaluation

More applied machine learning and quantitative projects

Deepfake Video DetectionComputer vision Gravitational Wave Machine LearningTime series ML GW IsidroSignal analysis LSST SRD Supernova AnalysisCosmology Supernova Fisher MatrixStatistical inference Regime Aware Statistical ArbitrageQuantitative research Bayesian Uncertainty TradingProbabilistic modeling Safe Reinforcement Learning for Crypto PairsReinforcement learning Cosmology Notebook for arXiv 2209.14542Research reproduction Firecrown Wrapper DevelopmentResearch infrastructure Neural Network RegressionMachine learning

Selected Publications

ADS library

Probing Physics beyond the Standard Model through Combined Analyses of Next Generation Type Ia Supernova, Cosmic Microwave Background, and Baryon Acoustic Oscillation Surveys

The Astrophysical Journal, 2026

Litmus Tests of the Flat Lambda CDM Model and Model Independent Measurement of H0 rd with LSST and DESI

Journal of Cosmology and Astroparticle Physics, 2025

Complete supplied ADS library with 33 records

2026The Generalization Gap in Machine Learning EoS Inference from Core Collapse Supernova Gravitational Waves 2026Catching the Cosmic Sign Flip: Background and Growth Tests of Smooth Sign Switching Lambda s CDM 2026Machine Learning Closure Audits for LSST Photometric Supernova Cosmology 2026FlowSN: Neural Simulation Based Inference under Realistic Selection Effects Applied to Supernova Cosmology 2026Probing Physics beyond the Standard Model through Combined Analyses of Next Generation Type Ia Supernova, Cosmic Microwave Background, and Baryon Acoustic Oscillation Surveys 2025Litmus Tests of the Flat Lambda CDM Model and Model Independent Measurement of H0 rd with LSST and DESI 2025Exploring Alternative Cosmologies with the LSST: Simulated Forecasts and Current Observational Constraints 2024Dark Energy Reconstruction Analysis with Artificial Neural Networks: Application on Simulated Supernova Ia Data from Rubin Observatory 2024Evaluating Machine Learning Models for Supernova Gravitational Wave Signal Classification 2024Forecasting Cosmology Constraints with Photometric SNIa Samples in the LSST Era 2024Role of Future SNIa Data from Rubin LSST in Reinvestigating Cosmological Models 2024Probing Nuclear Physics with Supernova Gravitational Waves and Machine Learning 2023Exploring Supernova Gravitational Waves with Machine Learning 2023Using Host Galaxy Photometric Redshifts to Improve Cosmological Constraints with Type Ia Supernovae in the LSST Era 2022Swiss Cheese Cosmologies with Variable G and Lambda from the Renormalization Group 2021SN 2018agk: A Prototypical Type Ia Supernova with a Smooth Power Law Rise in Kepler K2 2021Constraining HeII Reionization Detection Uncertainties via Fast Radio Bursts 2021Dual Temperature Acceleration Radiation 2021Constraining the Swiss Cheese IR Fixed Point Cosmology with Cosmic Expansion 2021Cosmology with the Einstein Telescope: No Slip Gravity Model and Redshift Specifications 2021Bound on Efficiency of Heat Engine from Uncertainty Relation Viewpoint 2021Cosmology Requirements on Supernova Photometric Redshift Systematics for the Rubin LSST and Roman Space Telescope 2020Binary Black Hole Information Loss Paradox and Future Prospects 2019Photometric Supernovae Redshift Systematics Requirements 2019Probing Uncertainty Relations in Noncommutative Space 2018Dependence of Type Ia Supernova Luminosities on Their Local Environment 2018The ESO VLT Type Ia Supernova Spectral Set of the Final Two Years of SNLS 2017LSQ14efd: Observations of the Cooling of a Shock Breakout Event in a Type Ic Supernova 2016Pan STARRS and PESSTO Search for an Optical Counterpart to the LIGO Gravitational Wave Source GW150914 2016Supplement: Localization and Broadband Follow Up of the Gravitational Wave Transient GW150914 2016Localization and Broadband Follow Up of the Gravitational Wave Transient GW150914 2016SN 2015BN: A Detailed Multiwavelength View of a Nearby Superluminous Supernova 2005Coordinate Measurement in Two and Three Dimensional Geometries Using Frequency Scanning Interferometry

PHOTOS AND EVENTS

Moments from the collaboration and beyond.

Moments from research workshops, conferences, and DESC team events.

Photos from the Past

With Prof. Amit K. Dhar, IIT Raipur, India

Photos from the Past

With collegues from Data Science bootcamp, Munich, Germany, 2016.

Photos from the Past

Lomonosov, Moscow State University, Russia.

Photos from the Past

With Prof. Gautam Paul, ISI, Calcutta, India and Dr. Pritam Chattapadhyay.

Photos from the Past

With Prof Somak Roy Chowdhury, IUCAA, India.

Photos from the Past

With Prof. Surhud More, IUCAA, Pune, India

Photos from the Past

With Prof. Luca Amendola, Heidelberg University.

Photos from the Past

Oxford University

Photos from the Past

In Office, NCSA.

Photos from the Past

With Professor Adam Burrows, Princeton.

Photos from the Past

Conference Dinner.

Photos from the Past

Collaboration conference

Photos from the Past

With Prof. John Sanders, Sussex University at Calcutta, India.

Photos from the Past

LSST-DA Catalyst Conference, Tucson, Arizona.

Photos from the Past

Cambridge University, 2025.

Photos from the Past

Graduation Sussex University, 2013

Photos from the Past

DESC 26 Collaboration meeting at Boston. Builder status ceremony.

Photos from the Past

With collegues from IUCAA, India. Poznana, Poland.

Photos from the Past

SkAI, Chicago.

Photos from the Past

At Lausanne, EAS 2026.

Photos from the Past

With the DESC Builder Pin

Photos from the Past

With Prof. Delphine Hardin (my PhD supervisor), LPNHE, France.

Photos from the Past

With the Man. United Boys at the airport.

Photos from the Past

LSST DA Catalyst conference. Tucson, Arizona. 2025.

Photos from the Past

Princeton University.

Photos from the Past

Zurich DESC annual conference, 2024

Photos from the Past

With the astrophysics group at Boston University.

Photos from the Past

With the astrophysics group at Boston University.

Talks & Media

Talks & Seminars1 of 4

Photometric Supernova Ia Cosmology Tutorial

LSST DESC Dark Energy School (2025) tutorial covering photometric classification and supernova cosmology workflows.

Watch on YouTube ↗