Huajin Wang

Senior Librarian Carnegie Mellon University

  • Pittsburgh PA

Huajin Wang leads innovative initiatives that help to create a culture change towards a more open and reproducible research landscape.

Contact

Carnegie Mellon University

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Biography

Huajin Wang is a Senior Librarian and co-director for the Open Science & Data Collaborations program at Carnegie Mellon University Libraries. As a director for the Open Science & Data Collaborations program, she leads innovative initiatives that help to create a culture change towards a more open and reproducible research landscape through tools, training, community building and collaboration across disciplinary boundaries. As a researcher, she has led many successful research projects and collaborated with biologists, clinicians, information professionals and data scientists on interdisciplinary research topics. Her current research interest is on open science methodology and assessments, AI-readiness of research data and secondary reuse of biomedical data. She is the chair and co-PI for the NSF-funded Artificial Intelligence for Data Discovery and Reuse (AIDR) conference and co-chairs the annual Open Science Symposium.

Areas of Expertise

Data Collaboration
Open Science
Biomedical Data
AI-Readiness of Research Data

Media Appearances

Libraries Convene Community of Scholars to Tackle Data Challenges

Carnegie Mellon University  online

2019-06-06

"With the recent advances in machine learning and AI, it is possible to train computers to find optimal solutions to a problem, such as integrating different datasets and extracting metadata," said Huajin Wang, a CMU librarian and conference chair. "We created AIDR 2019 because it's about time that people working in a variety of disciplines come together to benefit from diverse expertise, and address these mutual challenges together, using the power of AI."

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Media

Social

Industry Expertise

Library and Information Management
Education/Learning

Education

Carnegie Mellon University

(non-degree program)

Machine Learning

Shandong University

B.S.

Microbiology

University of Alberta

Ph.D.

Cell Biology

Event Appearances

An End-to-end Open Science and Data Collaborations Program

(2021) Coalition for Networked Information (CNI)  Virtual

The rising importance of open science and open data

(2021) Mid-Atlatic Chapter of the Medical Library Association Annual Meeting  Virtual

Data Discovery and Reuse: AI Solutions & the Human Factor

(2020) National Information Standards Organization (NISO) Plus Conference  Baltimore, MD

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Articles

Implementation and assessment of an end-to-end Open Science & Data Collaborations program

F1000Research

2022

As research becomes more interdisciplinary, fast-paced, data-intensive, and collaborative, there is an increasing need to share data and other research products in accordance with Open Science principles. In response to this need, we created an Open Science & Data Collaborations (OSDC) program at the Carnegie Mellon University Libraries that provides Open Science tools, training, collaboration opportunities, and community-building events to support Open Research and Open Science adoption. This program presents a unique end-to-end model for Open Science programs because it extends open science support beyond open repositories and open access publishing to the entire research lifecycle.

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Partitioning of MLX-family transcription factors to lipid droplets regulates metabolic gene expression

Molecular Cell

2020

Lipid droplets (LDs) store lipids for energy and are central to cellular lipid homeostasis. The mechanisms coordinating lipid storage in LDs with cellular metabolism are unclear but relevant to obesity-related diseases. Here we utilized genome-wide screening to identify genes that modulate lipid storage in macrophages, a cell type involved in metabolic diseases. Among ∼550 identified screen hits is MLX, a basic helix-loop-helix leucine-zipper transcription factor that regulates metabolic processes. We show that MLX and glucose-sensing family members MLXIP/MondoA and MLXIPL/ChREBP bind LDs via C-terminal amphipathic helices.

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The Evolution of Information Literacy Outcomes in Interdisciplinary Undergraduate Science Courses

Issues in Science and Technology Librarianship

2019

The ACRL Framework for Information Literacy presents opportunities for moving beyond ‘one-shot’information literacy sessions and creating a more scaffolded and embedded approach for instruction. We collaborated with faculty at Carnegie Mellon University to create Framework-inspired information literacy learning objectives for first-year and third-year science undergraduates and are continuously refining the objectives as the curriculum continues to evolve. This article describes our learning objective design and refinement process, challenges encountered, and ideas on how to create opportunities for embedding information literacy into a curriculum. We also share our full activity lesson plans and assessment tool.

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