My passion is combining healthcare and machine learning to provide unique insights into human conditions that will allow us to live in a healhier and safer world. I love to play tennis and read cereal boxes, shampoo bottles, and books.
Working on data coherency platforms and the IBM Watson AI XPrize. Worked on an R&D data visualization platform meant to provide high-fidelity, realtime ADT feed metrics across all hospitals in the UPMC Health System.
Applied Machine Learning team. Implementing clustering algorithms on a large dataset that requires deep feature selection and natural language processing.
Creating recommender systems from scratch for the Staples.com website and emails in the United States and Canada. Staples is the world's 2nd largest e-commerce retailer. My recommender model was put into production in the Staples weekly emails, going to millions of customers and businesses across the US.
Built the Pitt Quantum Repository, an online database for molecular data and interactive visualization. PQR also features a REST API to easily GET molecular data and structure.
Worked with Dr. Xinghua Lu to develop novel machine learning algorithms to solve the problem of identifying driver and passenger mutations given a human genome.
Published a paper on the distribution and frequency of contiguous palindromic sequences in the human genome with specific focus in regards to Acute Myeloid Leukemia with Dr. Ganapathiraju.
Python, Java, Scala, Swift, MATLAB, C
Apache Spark, Hadoop, Hive, Cassandra, Mesos, YARN, OpenMP, OpenMPI, TensorFlow, CUDA, Flask, Android
Tennis, Photography, Cooking