Srshti Putcha

PhD Student at the STOR-i Centre for Doctoral Training

Lancaster University

Welcome to my personal website!

I am a final year PhD student at the STOR-i Centre for Doctoral Training. My project is supervised by Dr. Chris Nemeth (Lancaster) and Professor Paul Fearnhead (Lancaster).

My PhD seeks to develop new methodology for scalable Bayesian inference. In particular, I study stochastic gradient Markov chain Monte Carlo (SGMCMC) methods. A full description of my research can be found here.

Alongside my PhD, I sit on the RSS Lancashire and East Cumbria local group committee. I also served as the local group Secretary between October 2019 and September 2020. Between July and November 2020, I undertook a five-month research residency at Cervest within the science team.

In my spare time, I volunteer as a Trustee for the North Lancashire Counselling Service, read extensively and participate occasionally in fitness-related activities. Click here for a list of my current book favourites.


  • Bayesian inference
  • Markov chain Monte Carlo
  • Machine learning


  • PhD in Statistics and Operational Research, 2021 (expected)

    Lancaster University

  • MRes in Statistics and Operational Research, 2018

    Lancaster University

  • MSc in Statistics (Research), 2017

    London School of Economics and Political Science

  • BSc in Mathematics and Economics, 2016

    London School of Economics and Political Science



Research Resident


Jul 2020 – Nov 2020 London, United Kingdom
I joined Cervest as a Research Resident within the science team. During my time at the company, I worked on designing and implementing models to infer land surface temperature within urban environments.

Graduate Teaching Assistant

Department of Mathematics and Statistics, Lancaster University

Oct 2018 – Sep 2019 Lancaster, United Kingdom
I worked as a Graduate Teaching Assistant within the Department of Mathematics and Statistics for two academic years. I taught first and second year undergraduate Maths courses in introductory calculus, probability, statistics, and linear algebra. I also taught postgraduate level courses in Bayesian inference and computational methods.

STOR-i Research Intern

STOR-i Centre for Doctoral Training, Lancaster University

Jul 2015 – Sep 2015 Lancaster, United Kingdom
I conducted and presented an independent research project under the supervision of a first year PhD student. My project was entitled Autocorrelation Estimates of Locally Stationary Time Series.


  • s.putcha1@lancaster.ac.uk
  • STOR-i Centre for Doctoral Training, Faculty of Science and Technology, Lancaster University, Lancaster, LA1 4YR