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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 and Professor Paul Fearnhead.

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 like to volunteer, read extensively and participate occasionally in fitness-related activities.

Interests

  • Bayesian inference
  • Markov chain Monte Carlo
  • Machine learning

Education

  • PhD in Statistics and Operational Research, 2022 (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

Experience

 
 
 
 
 

Research Resident

Cervest

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 – Jul 2020 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.

Contact

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