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Cornell University

Our experts

Epigenomics Facility

Gretta Kellogg

Director, Epigenomics Facility

Gretta Kellogg is the Epigenomics Facility Director. To read more about Gretta’s expertise and experience, see the leadership page.

Dean Taylor

Lab technician

With a Bachelor’s degree in Biology from Penn State and a Master’s in Entomology from the University of Idaho in 2019, Dean has a wide range of wet bench skills and a wealth of experience in labs. His scientific career has included studying insects, with a special interest in mosquito development, ecology, and immune response to malaria parasites. Outside of the lab he enjoys hiking, yoga, baking and traveling.

Danying Shao

Collaborative Senior Researcher

Danying holds a Ph.D. in Biophysics from the University of California, San Diego, and a B.S. in Physics from Peking University. She specializes in computational biology, data science, and web applications. She has worked on a wide range of projects, including cell signaling, cell motility, next-generation sequencing pipelines, labor management, and institutional research.

Ali Nematbakhsh

Research Associate

Ali is an expert in the field of Computational Biology with extensive experience in high performance computing. Before coming to Cornell, Ali worked as a postdoctoral associate at University of Notre Dame, where he developed a C++ GPU code to study mechanics and proliferation of epithelial cells. At the  Epigenomics Facility, his responsibilities include developing bioinformatic tools and workflows in an open source software, Galaxy, to analyze sequenced data. He also oversees flow of data between next-gen sequencers, the bioinformatic analysis platform, and the metadata management database.

Sally Han

Undergraduate Student Researcher

Sally is a junior in Cornell’s College of Arts and Sciences studying Information Science with a minor in business from Dyson. She is interested in statistical data analysis as well as User Interface UX/UI research and is excited to explore this further for scientifically-focused epigenomics software. Sally has course experience with UX/UI design where she was able to recreate different user interfaces and prototypes for pre-existing apps using Figma. She has experience leading brainstorming sessions and creating different user flows ultimately meant to develop software features for maximizing a user’s experience. She will continue this user-centered approach in her work for our Core, compiling feedback and developing lists of potential features and improvements. Her work is informing all of us about the importance of understanding user-centric design and engineering needs, and how they play a significant role in improving our software offerings. In her free time, she enjoys listening and finding new music, taking pictures with her polaroid, and exploring new places alone or with friends, and is looking forward to meeting and working with everyone.

Angelina Huang

Undergraduate Student Researcher

Angelina is an upcoming senior as a Biomedical Engineering (BME) major and Information Science minor, planning to graduate December 2021, and then continue at Cornell to obtain her Master’s in Engineering (MEng) degree. She has a background coding in Java, MATLAB, and R, and also working with Image J for her student research projects. Her work for the Epigenomics Core involves programming a web interface for a visualization tool to plot composites at genomic loci, reference points & regions of interest. Her work with the Core entails learning Javascript and full-stack development using MERN. She also enjoys tennis, swimming, baking, and games.

Audrey Sackey

Undergraduate Student Researcher

Audrey is a sophmore at Cornell with an interest in software engineering and User Interface UX/UI design. She has prior experience with C programming, MATLAB, python programming, and HTML. For our Epigenomics Core, she is developing her software engineering skills, mentoring with our senior researcher. She will be writing XML and python programs for our Core’s bioinformatic workflows and learning Best Practices for writing software as a part of a team with Git and other software development tools.