Manasi is a PhD student in the Database Group at MIT CSAIL advised by Sam Madden. Her research focuses on building interactive tools to enable rapid data analysis via visualization and machine learning. She holds Bachelors degrees in Computer Science and Mathematics from Worcester Polytechnic Institute, and a Masters degree from MIT.
Analyzing data to make decisions, to build new products or to make processes more efficient has become a top priority across industries. However, the growth in data and data analysis use cases has far outstripped the number of trained data scientists and tools for analysis. Manasi’s research involves developing new types of analytical tools to accelerate the process of going from data to actionable insights. She builds systems tailored to the real-world practice of data analysis using a combination of systems optimizations, statistical techniques, and human-in-the-loop design. Towards this goal, Manasi has worked on SeeDB, a novel type of recommendation system for visual data analysis. Given a dataset and analytical task, SeeDB searches through thousands of visualizations to automatically recommend those showing trends of interest. Manasi also works on efficient tooling to enable iterative machine learning. She is currently working on a system called Sherlock that is designed to support the entire modeling process including efficient building and testing of hundreds of models, management of workflows, and meta-analyses across models.
Aaron J. Elmore, Jennie Duggan, Mike Stonebraker, Magdalena Balazinska, Ugur Çetintemel, Vijay Gadepally, J. Heer, Bill Howe, Jeremy Kepner, Tim Kraska, Samuel Madden, David Maier, Timothy G. Mattson, S. Papadopoulos, J. Parkhurst, Nesime Tatbul, Manasi Vartak, Stan Zdonik:
A Demonstration of the BigDAWG Polystore System. PVLDB 8(12): 1908-1919 (2015)
Manasi Vartak, Sajjadur Rahman, Samuel Madden, Aditya G. Parameswaran, Neoklis Polyzotis:
SEEDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics. PVLDB 8(13): 2182-2193 (2015)
Manasi Vartak, Samuel Madden, Aditya G. Parameswaran, Neoklis Polyzotis:
SEEDB: Automatically Generating Query Visualizations. PVLDB 7(13): 1581-1584 (2014)
Rebecca Taft, Manasi Vartak, Nadathur Rajagopalan Satish, Narayanan Sundaram, Samuel Madden, Michael Stonebraker:
GenBase: a complex analytics genomics benchmark. SIGMOD Conference 2014: 177-188
Manasi Vartak, Samuel Madden:
CHIC: a combination-based recommendation system. SIGMOD Conference 2013: 981-984