Daniel Day Email & Phone Number

California, United States

Menlo Park, Ca, Us

Menlo Park, Ca, Us

I am part of the feed ranking team on the Facebook app manages and optimizes the core feed ranking algorithm that powers the Home feed. I work on how to better deliver personalized recommendations to users in both the connected (e.g., friend content) and unconnected content spaces.Over the last several years, I have helped drive improved relevance in the content delivered that translated into increased visitation and consumption on Home Feed. My work has delivered impact through a variety of self-driven production launches and through collaboration with the engineering team.Driving impact on the team required becoming an expert in and deploying a variety of analytical skill sets. These include deriving useful insights from massive data sets, developing surrogate variables to predict long-term outcomes, instrumental variable analysis, machine learning, and hyperparameter optimization (using tools like Ax and similar).

Menlo Park, Ca, Us

Menlo Park, Ca, Us

Cambridge, Massachusetts, Us

I was an American Cancer Society postdoctoral fellow (initially postdoctoral associate June 2015 - June 2016) in Richard Young's lab.

Cambridge, Massachusetts, Us

Boston, Ma, Us

I was a PhD Candidate in computational biology who studied epigenetics and blood vessel development through the use and analysis of multiple high-throughput sequencing technologies (ChIP-seq, RNA-seq, etc.). My thesis work involved understanding the regulatory circuity behind angiogenesis, the process of forming new blood vessels.My work here included:* Working with experiential collaborators to analyze assays based on high-throughput sequencing technology* Modeling and searching for biologically relevant patterns in large genomic data* Developing ways to display the results to present to other biologists and computationalists* Applying multiple different statistical tools (e.g., linear regression models, Hidden Markov Models) to uncover important patterns in the data* Integrated and modeled multiple genomic data sets to make biological predictions about the underlying regulatory circuity of endothelial cells, chromatin structure, etc., and several of these predictions were later validated experimentally* Developed analyses in R, C, and C++* Presented my work at Harvard Medical School, MIT and conferences

Cambridge, Massachusetts, Us

This work involved improving the estimation of the chromatin state of repetitive elements in mammalian genomes.

Vermillion, Sd, Us

My main goal was to develop a web-based application that extract the output from mass spectrometry assay runs, transform the output into a set of structured tables, load the tables into a SQL database, and then have the web front-end query the database and display the results in a useful format.* Developed a web application using Java, Java Server Pages, and JavaScript (AJAX)* Extracted data from the machine and transformed it into a format that could be uploaded into a MySQL database* Used database queries and Java to generate reports to summarize and visualize the mass spectrometer results

Minneapolis And St. Paul, Minnesota, Us

During this summer internship:* Implemented a random forest to try and predict whether a pancreatic cancer patient's DNA could indicate whether a specific chemotherapeutic treatments would improve a patient's 5-year survival chances* Implemented software to rapidly retrieve biological data from important remote database servicesThis work was eventually presented in a poster at a conference hosted by the Council on Undergraduate Research on Capitol Hill in Washington, D.C.

Ph. D, Medical Engineering And Medical Physics; Bioinformatics And Integrative Genomics

Ba, Computer Science, Biology