Jyoti Babbar

Dr. Jyoti Babbar is an experimental high-energy physicist with research expertise in collider physics and large-scale data analysis within the CMS experiment at the Large Hadron Collider (LHC), CERN. She completed her B.Sc. and M.Sc. in Physics from the University of Delhi and earned her Ph.D. from Panjab University, Chandigarh, where her work focused on searches for new particles and detector-level analyses in CMS. 

She has worked as a Visiting Researcher at Fermilab for six months, contributing to the testing and evaluation of ASICs for the HGCAL readout system. She later served as a Postdoctoral Researcher at INFN Trieste for 1.5 years, where she worked on simulations, reconstruction algorithms, and data-driven analysis techniques. 

Dr. Jyoti Babbar worked as a Visiting Researcher at Fermilab on ASIC testing for the HGCAL readout system and, as a Postdoctoral Fellow at INFN Trieste, contributed to CMS data analysis and detector studies. She has been an active member of the CMS collaboration since her doctoral research, participating in physics analyses, detector calibration, and reconstruction work. 

Searches for new particles at the LHC | Software development and data analysis for high-energy physics | Machine-learning-based 4D vertex reconstruction for the MIP Timing Detector (MTD) | Detector performance studies | HCAL calibration and evaluation within the CMS experiment. 

Dr. Jyoti believes in connecting theoretical concepts with real experimental practice to build deep scientific understanding. She emphasizes conceptual clarity, analytical reasoning, and the use of real data to help students appreciate how modern physics is performed. 

Her classroom environment promotes curiosity, independent thinking, and collaborative learning. She encourages students to engage with computational tools, experimental methods, and critical problem solving to grow as confident physicists. 

Engineering Physics (August–December 2025) | Engineering Physics Laboratory. 

Awarded the prestigious CSIR JRF and SRF, supporting her doctoral research within the CMS experiment at the LHC. 

Received funding for research visits to CERN under a DST-funded project, contributing to CMS detector and analysis activities. Supported for a six-month visit to Fermilab, USA, to work on ASIC testing for the HGCAL upgrade with the CMS group. 

Secured a competitively funded postdoctoral project titled Development of neural network-based machine-learning algorithms on high-performance computing infrastructures for 4D vertex reconstruction with the MTD detector of the CMS experiment, valued at €27,500. 

Dr. Jyoti Babbar has been an active member of the CMS collaboration since 2018, contributing to detector development and physics analysis. She worked on GEM detector assembly and quality testing at Panjab University, components that are now part of the CMS muon system. 

She is currently focused on machine-learning-based 4D vertex reconstruction for the MIP Timing Detector (MTD) as part of the CMS Phase-2 upgrade. She also conducts physics analyses using CMS data and actively participates in detector, reconstruction, and analysis working groups. 

jyoti.babbar@ddn.upes.ac.in