Shyam Rajagopalan
Affiliated to Research
E-mail: shyam.rajagopalan@ki.se
Visiting address: Bioclinicum J9:30, Akademiska stråket 1, 17164 Solna
Postal address: K6 Kvinnors och barns hälsa, K6 Neuropsykiatri Tammimies, 171 77 Stockholm
About me
- My research applies tools from computer science, machine/deep learning and
engineering towards tracing the biological underpinnings of Autism Spectrum
Disorder (ASD).
I received a master's degree in computer science from the Indian Institute
of Technology, Madras (IIT), India and a PhD in Information Sciences &
Engineering from the University of Canberra, Australia. I worked in the
software industry for 25+ yrs in leading multinational organizations, such as
Citrix & Adobe Systems. I was working in senior leadership roles (Senior
Director of Engineering) driving large teams and shipping successful
software products in the cloud technology domain.
Doctor of Philosophy (PhD) in Affective Computing, University of Canberra,
Australia.
Master of Science by Research (MS) in Computer Science, Indian Institute of
Technology, Madras, India.
Bachelor of Engineering (BE) in Computer Science, University of Madras, India
*Professional Work Experience*
Senior Director of Engineering, Citrix R&D, Bangalore, India. Feb 2021 - Apr
2022
Director of Engineering & Sr Research Scientist, Adobe Systems India Private
Limited, Bangalore, India. Feb 2005 - Mar 2013, Jul 2016 - Feb 2021.
Senior Development Manager, Aditi Tech/Talisma Corp., Bangalore, India. Jul
1995 - Feb 2005
Scientific Officer, Bhabha Atomic Research Centre, Mumbai, India. Aug 1993 -
Jun 1995.
Research
- I am working on a large project that aims to build prediction models for
neurodevelopmental disorders using clinical and genomic information. In
addition, I am working on other projects analyzing genetic information in
intervention outcomes, genomics studies in different neurodevelopmental
disorder cohorts and analyzing functional genomics data generated from
patient-derived neurons.
*RESEARCH PROJECTS*
*Project 1: Multimodal machine learning models to identify presymptomatic
markers and predict risk scores of Autism in infants (0 - 18 mo)*
The characterizing behaviour symptoms of Autism Spectrum Disorder (ASD) -
social impairments, language/communication deficits and
restrictive/repetitive behaviours - are usually absent before 14 months of
age. However, recent studies are pointing towards the presence of early
traits common in the general population and start to diverge towards core ASD
symptoms by 2yr for certain high-risk individuals. There is growing evidence
of disruption in brain development resulting from a combination of genetic
variations during this development phase. This warrants more focused
longitudinal studies to identify combinations of presymptomatic markers in
infants (