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Work and Research Experience
Senior Applier Researcher/Applied Sciences Manager at eBay - San Jose, CA, November 2021 - present
Projects as team lead and manager of Allocation and Pricing team within Search Ranking & Monetization team
Response prediction for promoted listings advanced advertising program
Developing continual learning low-latency models based on structured and unstructured data for CTR and CVR estimation for ads ranking and pricing
Budget pacing for promoted listings advanced ad campaigns
Built a budget pacing controller for controlling ad spend curves
Research Scientist at Yahoo Research, Ad Platforms, Verizon Media - Sunnyvale, CA, August 2018 - November 2021
Projects as a member of Demand Platforms Research & Development team
Understanding and modeling users’ interests from their online activity trails collected from wide specter of data sources for prospective and retargeting conversion prediction tasks.
Modeling mobile users demographics and interests from their installed mobile apps.
Bid shading (diminishing bid price) for first-price auctions by modeling bidding landscape.
Projects as a member of Targeting & Insights Research team
Improving click prediction model for premium ads marketplace (native advertising).
Contextual predictive audiences product (conversion prediction targeting and optimization) for the cookieless online world.
Selected for an amazing year-long Senior Leadership Fast Track Development program titled SPARK among 27 within a company of 10,000+ employees.
Selected for a leadership talent program titled ELEVATE that paired senior leadership member for guidance, support and mutual learning.
Research & Teaching Assistant at Temple University - Philadelphia, PA, 2013 - 2018
Academic Researcher at IQVIA - Philadelphia, PA, September 2017 - July 2018
Research Intern at Yahoo Research, Yahoo! - Sunnyvale, CA, June 2017 - August 2017
Research Intern at Yahoo Research, Yahoo! - Sunnyvale, CA, May 2016 - August 2016
Modeling Temporal Dynamics of User Behavior for Improved Advertising grant
Developing major extensions aimed to: 1) facilitating ensemble-based users embedding where constituents can be replaced by embedding models of any type; 2) learning distributed representations for the target events-time purchase pairs.
Yahoo Faculty Research and Engagement Program (FREP)
Ranking investigators for clinical studies optimization
Developing novel methods for learning to match and rank investigators (physitians) for new clinical trials.
GRAPHS funded Prospective Analysis of Large and Complex Partially Observed Temporal Social Networks
Modelling predictive uncertainty estimation of Conditional Random Fields for evolving graphs.
Defense Advanced Research Projects Agency (DARPA)
, negotiated by
Air Force Office of Scientific Research (AFOSR)
Structured Regression in Complex Networks by Fusion of Qualitative Knowledge and Big Data
Fusing large scale hospital discharge records databases with various domain knowledge sources to obtain novel and meaningful insights and improved predictions in healthcare.
Office of Naval Research (ONR)
BIGDATA: Multi-level predictive analytics & motif discovery across massive dynamic spatio-temporal networks in complex socio-technical systems: An organizational genetics approach
Correlating comorbidity and genetic disease networks across age, sex, and geography from large scale hospital discharge records databases.
National Science Foundation (NSF)
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