Aakash Kaku

I'm a fourth-year Ph.D. student at NYU Center for Data Science, part of Courant Institute of Mathematical Sciences. I'm interested in solving problems in the healthcare domain using machine learning.

Currently, I'm working with Prof. Carlos Fernandez Granda and Prof. Heidi Schambra on activity recognition and quantifying neuro-rehabilitation in stroke patients and with Prof. Narges Razavian on learning meaningful representations of medical domain images using self-supervised learning.

You can contact me via email: ark576[at]nyu.edu. Google scholar Resume.


  • New York University - Center for Data Science (Courant)

    Ph.D. in Data Science (Aug 2019 - Present)
  • New York University - Center for Data Science (Courant)

    MS in Data Science (Sep 2017 - May 2019)
  • Indian Institute of Management Bangalore

    Post Graduate Diploma in Management (eq. MBA) (Jun 2014 - Mar 2016)
  • Institute of Chemical Technology, Mumbai (formerly UDCT)

    Bachelors in Chemical Engineering (Aug 2010 - May 2014)


  • Human activity recognition in stroke patients using IMU sensor data

    Using Machine learning models, we attempt to predict the movement of stroke patients during the physio-therapy sessions
  • Complete Anatomical Brain MR Segmentation Github

    We aim to build an alternative tool to Free Surfer (FS) that performs complete brain segmentation quickly and more accurately than FS [Extended Abstract]
  • Muscolo-skeletal MR Segmentation using dilated convolutions Github

    Used Convolution segmentation models to peform knee cartilage segmentation [Project Report]
  • Neural Machine Translation Github

    Bi-LSTM with attention and self-attention based models to perform Chinese to English and Vietnamese to English Translation
  • Yelp Recommendation Engine Github

    Built a SGD-based matrix factorization model to recommend restaurants to Yelp users [Project Report]
  • Bank Marketing Campaign Analysis Github

    Analyzed the prior marketing campaign of a Portuguese Bank using various ML models and recommend ways to improve the campaign [Project Report]
  • Teaching

  • Deep Learning for Medicine - NYU Med School

    Teaching Assistant (Jan - May 2019)

  • Machine Learning - NYU CDS

    Grader (Jan - May 2019)

  • Quantitative Methods 2 - IIM Bangalore

    Teaching Assistant (Sept - Oct 2015)

  • Work Experience

  • Accenture Strategy, Management Consulting Firm, Bangalore

    Strategy Analyst (May 2016 - Aug 2017)
  • Built & implemented an NLP model that helped in process optimization; Resulted in potential savings of $3 Mn for the client
  • Assisted two largest chemical companies in the world to undergo a successful merger by doing a thorough process due diligence