Sagar Joglekar, Ph.D.

Senior Machine Learning Scientist



Hello! I am a computer scientist by training, who loves to work on problems which require building representations of human behaviour from multimodal data. I have developed representation learning methods based on NLP, graphs, and images, to solve such problems.

I was a King's India scholar at King's College London, where I worked on my Ph.D. in computer science at the Department of Informatics, under the guidance of Dr. Nishanth Sastry.

I have graduated with a Masters of Science (M.S.) degree from the University of California at Santa Barbara USA, majoring in signals processing and networks, and a Bachelors of Engineering (B.Eng) from the University of Pune, India, majoring in Electronics engineering

Currently, I work as a Machine Learning Scientist at Intercom, where I research and help build the next generation customer engagement software powered by the cutting edge AI tech.


  • Complex Networks
  • Computational Social Dynamics
  • Representation learning


  • Ph.D. in Computer Science, 2015 - 2019

    King's College, London, U.K.

  • Master of Sciences (M.S) , Major in Signals Processing and Networks, 2010 - 2012

    University of California, Santa Barbara, C.A. , U.S.A

  • B.Eng , Electronics Engineering, 2004 - 2008

    University of Pune, India


Actions and their (lack of) consequences

A while ago I listened to an interesting podcast called the Hidden Brain on the role of outrage in the tribal social balance of trust. …

Sensing the real world through NHS prescriptions data

Researchers and practitioners intererested in geography of health, social dynamics, economics, and everything in between are always …

Broad areas of work

Social networks and health

We as a society have accepted the internet as an extension of the self. The online disinhibition effect sometimes allows us to open up …

Human behaviour on networked systems

Networked systems went through several phases over the past 40 years. In the first phase the network was a vessel for movement of data. …

Quantifying the Urban Exposome

The 21st century would witness one of the largest urban migration in human history. A lot of research has gone into understanding the …



Senior Machine Learning Scientist


Oct 2023 – Present London, UK
Help research and build the next generation customer engagement software powered by AI.

Machine Learning Scientist

Expedia Group

Jul 2021 – Sep 2023 London, UK
I work with the Content Data Science team to develop machine learning algorithms and services that deal with curation, ranking, and retrieval of any and all content hosted on the Expedia Group products.

Research Scientist

Nokia Bell Labs

Jun 2019 – Jul 2021 Cambridge, UK
As a member of the Bell labs social dynamics team, I have been working on questions that try to redefine our relationships with data. I primarily work on problems dealing with machine learning and statistical inference with a stress on impacts on healthcare and urbanism. The work generally involves mathematically modelling an off-line phenomenon through the online data that it generates.

Head of Research


Apr 2016 – Jun 2017 London, UK
Research and Development. Advisor for all things ML

Senior Software engineer

Citrix systems

Feb 2012 – Sep 2015 Santa Barbara, California, USA
Development of distributed media encoder/decoder protocols for the client/server side libraries used in Citrix collaborations and conferencing products (e,g, GoToMeeting , GoToAssist, GoToWebinar)

Research Engineer

Infosys research Labs

Jul 2008 – Jul 2010 Bangalore/Pune India
Research, prototyping, and development hand over in state of the art DRM, multimedia security and delivery systems

Recent & Upcoming Talks

Ph.D. Defence talk