Aakash Kaku
I'm a First-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 and Prof. Yvonne Lui on building a deep learning based brain MR segmentation tool which will consequently be used for predicting various diseases like Alzheimer's, Normal Pressure Hydrocephalus, Dementia, and others.
You can contact me via email: ark576[at]nyu.edu. Please have a look at my Resume.
Education
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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)
Research/Projects
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)