Chloe Chen
About Chloe Chen
Chloe Chen is a Data Science Research Associate Intern with a background in computational neuroscience and computer science. She has worked at various institutions, including Neuraville and Carnegie Mellon University, and will pursue a PhD in Computer Science at the University of Texas at Austin.
Current Role at Axle Informatics
Chloe Chen currently serves as a Data Science Research Associate Intern at Axle Informatics. She has been in this role since 2022 and is based in Pittsburgh, Pennsylvania. During her internship, she has contributed to the NIH NCATS RDIP project, applying her skills in data science to support healthcare solutions.
Previous Experience in Computational Neuroscience
In 2022, Chloe worked as a Computational Neuroscientist at Neuraville for three months. This position allowed her to apply computational methods in the field of neuroscience, enhancing her understanding of healthcare solutions. Her experience in this role contributed to her expertise in the intersection of technology and healthcare.
Educational Background in Computer Science
Chloe Chen studied at The University of Texas at Austin, where she earned a Doctor of Philosophy (PhD) in Computer Science. She also completed her undergraduate studies at Carnegie Mellon University, obtaining a Bachelor of Science (BS) in Neuroscience. Her academic background provides a strong foundation for her research and professional endeavors.
Research and Teaching Experience
Chloe has extensive research and teaching experience. She served as a Research Assistant at Carnegie Mellon University and the University of Pittsburgh from 2019 to 2021. Additionally, she worked as a Teaching Assistant at Carnegie Mellon University and the Pennsylvania Governor's School for the Sciences. These roles have equipped her with valuable skills in research methodologies and educational support.
Internship Experience in Computer Science
Chloe gained practical experience as a Computer Science Intern at USSOCOM in 2021. This internship lasted for two months and allowed her to apply her computer science knowledge in a professional setting. Her diverse internship experiences have contributed to her growth in the field of data science and computational methods.