Abdul Wasay

I am a PhD candidate at the Harvard John A. Paulson School Engineering and Applied Sciences, where I am advised by Prof. Stratos Idreos.

In my research, I design techniques that accelerate data science and machine learning pipelines, specifically, adressing the bottleneck of repeated data movement. I am also interested in designing systems under novel paradigms for exploratory analysis of scientific data sets. I also spent a summer working at HPE (now Micro Focus), where I designed techniques to summarize network traffic data.

Prior to joining Harvard, I was an undergraduate at Lahore University of Management Sciences (LUMS), where, as a part of the Networks and Systems Group, I investigated ways to improve buffer management in data center networks. During this time, I also spent a summer at École Polytechnique Fédérale de Lausanne (EPFL) working on techniques to enhance privacy of social network graphs.

Please see my resume for more details.



Data science has quickly emerged as a global paradigm to extract value out of data virtually in all aspects of our lives. Queriosity is a new system that addresses two of the fundamental problems in this area, making data science more intuitive and more interactive.

Virtual Reality Data Exploration

The increase in visual space, portability, and interactivity provided by virtual reality tools can both speed up and facilitate the process of data exploration i.e., sieving through data sets looking for patterns, trends, and anomalies. However, the speed, functionality, and ultimately applicability of such a system is linked with the data system that stores, curates, and provides data to the virtual reality front end. We investigate how to co-design data systems with virtual reality front ends.


Data Canopy: Accelerating Exploratory Statistical Analysis. Abdul Wasay, Xinding Wei, Niv Dayan, Stratos Idreos. Proceedings of the ACM SIGMOD International Conference on Management of Data, 2017.

Queriosity: Automated Data Exploration. Abdul Wasay, Manos Athanassoulis, Stratos Idreos. Proceedings of the IEEE International Congress on Big Data, 2015.

Rethinking buffer management in data center networks. Aisha Mushtaq, Asad Khalid Ismail, Abdul Wasay, Bilal Mahmood, Ihsan Ayyub Qazi, and Zartash Afzal Uzmi. Proceedings of the ACM SIGCOMM International Conference on Data Communication, 2014.


Dhruv Gupta | Harvard College
Project: Interactive Data Exploration Front Ends
Xingding Wei | Tsinghua University
Project: Accelerating Statistical Data Analysis
Zichen Zhu | Tsinghua University and Yash Bolisetty | TJHST
Project: Reinforcement Learning to Visualize Data
Heng Chang | Tsinghua University and Srinidhi Krishnamurthy | TJHST
Project: Virtual Reality Front Ends for Data Visualization

I also serve as a Resident Tutor at Quincy House, Harvard College.


Tarik A. Moon | Harvard College | Now at a stealth startup
Project: Modern Hardware Machine Learning
Nithin Tumma | Harvard College | Co-founder at Side
Project: Sketching Stratgies for Data Exploration


awasay [at] seas.harvard.edu

136 Maxwell Dworkin,
33 Oxford Street,
Cambridge, MA 02138.