This is really abridged – please contact me for full and latest CV.

Publications: google scholar

Invited talks and seminars (recent)

  • June 2019, Toronto: Compute Ontario Summer School, workshop on Machine in Learning in Neuroimaging, organized by SciNet at University of Toronto
  • June 2019, Rome: Lead organizer and speaker at the Educational course on neuroimaging quality control at the OHBM 2019 in Rome
    • Talk 1 on “Overview of Neuroimaging Quality Control (niQC), and introduction anatomical imaging QC
    • Talk 2 on “Tools and informatics for niQC
  • May 2019: Invited talk on “AI in Medicine: current insights and future challenges” at the University of Toronto Centre for Study of Pain seminar series
  • Jan 2019: Co-instructor for the scientific communication workshop by the Research Training Centre at the Rotman Research Institute, Baycrest Health Sciences in Toronto
  • Nov 2018: Seminar on “Why Python is ideal for [neuroscience] research software development?” at the Python Conference Canada (PyConCA).
  • Sep 2018, Montreal: Workshop at the 2018 International Resting State and Brain Connectivity conference on practical introduction to machine learning: classifiers, feature selection, and cross-validation.
  • June 2018, Singapore:  Instructor at the OHBM 2018 educational course on Patter Recognition for Neuroimaging, teaching cross-validation. Testimonials: “Your lecture [on cross validation] solved all my problems with reviewers. Thank you so much!
  • May 2018, Ottawa: two of my neuroimaging tools were selected for presentation at the CANARiE’s Canadian Research Software Conference (CRSC’18) :
    • easy & comprehensive biomarker assessment w/ neuropredict (lightning talk)
    • rigorous yet easy quality control of neuroimaging data w/ visualqc (poster)
  • Feb 2018: Canadian Partnership in Stroke and Recovery (CPSR) rounds at the Sunnybrook Research Institute on neuroinformatics and machine learning.
  • Jan 2018: Research Training Centre workshop at the Rotman Research Institute, Baycrest Health Sciences on High Performance Computing with detailed checklists and tips to build efficient workflows and effective cluster usage. [Slides]
  • Jan 2018: Krembil Neuroimaging Rounds (University Health Network ) on machine learning, biomarker accuracy and best practices. [slides]
  • Oct 2017: Canadian Biomarker Integration Network in Depression (CAN-BIND) lecture series on Network-level imaging biomarkers for prognostic applications. 
  • June 2017, Vancouver: Cross-validation primer at the OHBM Educational course on Pattern Recognition in Neuroimaging. Slides: here Mirror: here.
  • May 2017: Machine learning workshop at the Rotman Research Institute, Baycrest.
  • Mar 2017: Dalla Lana School of Public Health, University of Toronto: Seminar on  medical image analysis and machine learning.
  • May 2016: Rotman Rounds at Rotman Research Institute, Baycrest: Structural network analysis: Impact of network construction choices
  • Dec 2015: Toronto Western Research Institute: Neuroimaging rounds


  • Oct 2014 – Ph. D. in Engineering Science
    Simon Fraser University, Canada
    Thesis: Network-level imaging biomarkers for prognostic applications in neuroimaging
    Advisor: Prof. Mirza Faisal Beg
  • May 2005 – M. Sc. in Physics
    Indian Institute of Technology, Madras, India
    Thesis: Infrared Thermography for Nondestructive evaluation of Material Defects.
  • May 2003 – B.Sc in Mathematics, Physics and Computer science 
    Sri Venkateswara University, India (University topper, with perfect score in Math).

Awards (Recent)

  • 2018 Canadian Open Neuroscience Scholarship ($50K)
  • 2014 Three Minute Thesis Contest Winner
    SFU, People’s Choice (150+ voting)
  • 2013 Travel Fellowship ($2,500)
    Alzheimer Association
  • 2011 Poster Prize (2nd, Fields conference on Mathematics in Brain Imaging, Toronto)
  • 2010 Research Scholarship ($61,050)
    Alzheimer Society Canada
  • 2009 Graduate Fellowship ($6,500)
    Simon Fraser University (SFU)

Professional Experience

Sep 2015 – Current

Postdoctoral fellow at Baycrest Health Sciences

Rotman Research Institute – Stephen Strother’s lab

  • multimodal imaging biomarkers for computer-aided diagnosis and prognosis
  • Optimization of preprocessing pipelines for fMRI image analysis
  • Development of HPC-workflows and neuroinformatics tools to aid in predictive modeling (neuropredict) and in fMRI preprocessing (OPPNI)

Sep 2014 – Aug 2015

Research Scientist at Simon Fraser University
Medical Image Analysis lab

  • multimodal imaging biomarkers for computer-aided diagnosis
  • Developing and assisting grant proposals.
  • Mentoring graduate students

May 2008 – Aug 2014

Research Assistant at Simon Fraser University
Medical Image Analysis lab (MIAL)

  • Developed machine learning techniques for early detection of Alzheimer’s disease
  • Built medical image processing and analysis algorithms, for preprocessing, segmentation, feature extraction and registration.
  • Developed multi-class classifiers to differentially detect multiple diseases, such as Alzheimer’s and Frontotemporal dementia
  • Successfully obtained $61,050 for my independent research proposal on classifier fusion
  • Collaborated with clinicians, statisticians and radiologists across the globe.

Academic Service

  • Founder and Chair of the INCF niQC Special Interest Group
  • Organizing conferences and workshops
    • Steering committee member for PRNI conference, 2018-
    • Co-chair of the organizing committee for PRNI 2017
    • Program commitee member for MICCAI MLCN 2018-
    • Assisted in the organization of workshop on Mathematics in Brain Imaging (2012) at Simon Fraser University.
  • Grant reviewer
    • NSERC Discovery
  • Reviewing journal and conference articles
    • NeuroImage, Human Brain Mapping, Nature Scientific Reports, IEEE Transactions on Biomedical Engineering (TBME), IEEE TMI, MICCAI.
  • Mentor at OHBM 2017 Mentorship program
  • Mentor at the 2015 Dementia Hackathon
  • Running workshops and tutorials
    • Practical Introduction to Machine Learning: what, how and which?” at the Rotman Research Institute, Baycrest in Toronto (30 students and staff)

Grant Writing Experience

  • Alzheimer Society Canada, 2011 (Principal Applicant, successful, Value: $61,500).
  • Assisted my advisor for a CIHR operating grant application in March 2014 based on my Ph.D. thesis research.
  • Lead delegate for the Compute Canada grant applications for WestGrid National Resource Allocation competition.

Leadership & Project Management

  • Co-chair  of the organizing committee for the 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI), held in Toronto, Canada in June 2017.
  • Main project coordinator  for a multi-site project on early detection of Alzheimer’s disease funded by Pacific Alzheimer Research Foundation from 2008–2012 (4 years). This is a collaboration across 4 universities in Australia, Canada and USA, including Johns Hopkins and Northwestern Universities.
  • Linux System Admin  for Medical Image Analysis Lab (with 20+ students), from May 2011 to 2015 (4 years).
    • First point of contact for general issues regarding software toolchain and network file server.
    • Troubleshooter for problems with high-performance computing clusters.
    • Mentors junior students in the automation of batch processing for large datasets.
    • Coordinates a central repository for the various tools developed in the lab.
  • Mentored  junior graduate students in the lab (May 2011– present), which included:
    • high-level guidance on research direction.
    • hands-on problem-solving in day to day research.
    • brainstorming and generating better solutions.
  • President  for Engineering Science Graduate Student Association at SFU, from 2009–2010 (1 year).
    • leading and pursuing policy changes in the interests of graduate students.
    • presiding over meetings on disparate set of topics
    • making concrete plans with high-impact deliverables.
    • organizing and moving the association as a whole