Ahsan Ashraf

Data Scientist + Physicist

About

I am a data scientist and physicist, currently working on homefeed ranking and recommendations at Pinterest. I develop and apply machine learning and statistical methodologies/tools to tackle modern data science problems, build data products, and enable data-driven/informed decision making.

Before Pinterest I worked with a personal finance start-up called wallet.ai as part of a data science fellowship at Insight. My research background is in complex systems and condensed matter physics. I worked at Brookhaven National Lab on the development of novel sustainable energy technologies. More details on my PhD research can be found here.

Highlights of recent work

Lead the effort to develop and deploy machine learning algorithms to detect and remove harmful content (self-injury, medical misinformation, and hate speech among others) from major discovery surfaces

Developed comprehensive health metrics for topical diversity - in addition to relevance - in the home feed to prevent over-optimization of ranking/recommendation algorithms to short-term outcomes at the expense of long-term product health (exploration versus exploitation), helping drive the understanding and future strategy of personalization for machine learning teams at Pinterest

Built a recommender system for early stage startup wallet.AI, as part of data science fellowship at Insight, that builds intelligent machines to help people make better financial decisions

Developed a new architecture for electronic devices for graphene-semiconductor junctions using n-doped multi-layer graphene on glass

Graphene leans on glass to advance electronics

Designed and built a new method for texturing a surface at the nanoscale (< 50nm) using self-assembly of polymers for antireflection in silicon (and other) solar cells at any angle or wavelength of light

Developed a novel way of mapping where the charges in electronic devices are being generated and collected to better understand how to optimize organic photovoltaic devices