Lab Members


Faculty

Li Shen, PhD, FAIMBE

Li Shen, PhD, FAIMBE

Professor of Informatics / Interim Director, Division of Informatics
 li.shen@pennmedicine.upenn.edu
 215-573-2956

Dr. Li Shen is Professor and Interim Director of Division of Informatics in the Department of Biostatistics, Epidemiology and Informatics at the Perelman School of Medicine in the University of Pennsylvania. He obtained his Ph.D. degree in Computer Science from Dartmouth College. His research interests include medical image computing, biomedical informatics, machine learning, network science, imaging genomics, multi-omics and systems biology, Alzheimer’s disease, and big data science in biomedicine. 

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Postdoctoral Fellows

Duy Duong-Tran, PhD

Duy Duong-Tran, PhD

Postdoctoral Fellow
 duyanh.duong-tran@pennmedicine.upenn.edu

Dr. Duy Duong-Tran obtained his Ph.D. in Computational Neuroscience in the School of Industrial Engineering at Purdue University. His research interest is in the intersection of applied mathematics and computational neuroscience. During his Ph.D., he was the recipient of Ross Doctorate Research Fellowship, Magoon Teaching Excellence Award, and Bilsland Dissertation Fellowship.

Sumita Garai, PhD

Sumita Garai, PhD

Postdoctoral Fellow
 Sumita.Garai@pennmedicine.upenn.edu

Dr. Sumita Garai obtained her Ph.D. degree in Mathematics with a specialization in Algebraic Number Theory from the Penn State University. Her research interests include applied mathematics, machine learning, and biomedical data science.

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Daniele Pala, PhD

Daniele Pala, PhD

Postdoctoral Fellow
 Daniele.Pala@pennmedicine.upenn.edu

Dr. Daniele Pala obtained his Ph.D. degree in Technologies for Health, Bioengineering and Bioinformatics at the University of Pavia, Italy. His research interests include machine learning, biomedical data science and bioinformatics

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Joseph D. Romano, PhD

Joseph D. Romano, PhD

Postdoctoral Fellow, co-mentored by J Moore and L Shen
 Joseph.Romano@pennmedicine.upenn.edu

Dr. Joe Romano is a postdoctoral researcher in Penn's Institute for Biomedical Informatics and Center of Excellence in Environmental Toxicology. His research focuses on using translational bioinformatics and artificial intelligence to make new discoveries in toxicology and systems pharmacology.

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Shu Yang, PhD

Shu Yang, PhD

Postdoctoral Fellow
 Shu.Yang@pennmedicine.upenn.edu

Dr. Shu Yang obtained his Ph.D. degree in Computer Science at the University of British Columbia. His research interests include computational biology, bioinformatics algorithm, data mining, and machine learning.


PhD Students

Jingxuan Bao, BS, MA

Jingxuan Bao, BS, MA

PhD Student
 Jingxuan.Bao@Pennmedicine.upenn.edu

Jingxuan Bao is a PhD student in Genomics and Computational Biology at Penn. He received his MA degree in Applied Mathematics and Computational Science from University of Pennsylvania. His research interests include machine learning, applied mathematics, imaging genomics, biomedical data science.

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Yun Hao, BS, MA

Yun Hao, BS, MA

PhD Student, co-mentored by J Moore and L Shen
 Yun.Hao@pennmedicine.upenn.edu

Yun Hao is a PhD student in the Graduate Group in Genomics and Computational Biology at Penn. He received MA degree in Biomedical Informatics from Columbia University. His research focuses on developing deep learning models to predict drug toxicity and explain cellular mechanisms of toxicity.

Boning Tong, BS

Boning Tong, BS

Master's Student
 boningt@seas.upenn.edu

Boning Tong is an incoming student in Bioengineering at Penn. She received her ME degree from the same program. She joined the Shen lab in January, 2021. She is interested in applying machine learning method to detect Alzheimer’s disease using multimodal brain imaging data.

Zixuan Wen, BS, MA

Zixuan Wen, BS, MA

Research Specialist
 Zixuan.Wen@pennmedicine.upenn.edu

Zixuan Wen is an incoming PhD student in Applied Mathematics and Computational Science at PhD. She received her MA degree from the same program. Her research interests include applied mathematics, machine learning, and biomedical data science.

Alexa Woodward, BS, MS

Alexa Woodward, BS, MS

PhD Student, co-mentored by J Moore, R Urbanowicz and L Shen
 Alexa.Woodwardg@pennmedicine.upenn.edu

Alexa Woodward is a PhD student in the Graduate Group in Epidemiology and Biostatistics at Penn. She received her MS degree in Bioethics/Medical Ethics from Columbia University. Her research interests span genetic epidemiology and bioinformatics and center around capturing and characterizing genetic and other types of heterogeneity in complex diseases.

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Frederick Xu, BS

Frederick Xu, BS

PhD Student
 fredxu@seas.upenn.edu

Frederick Xu is a PhD student in Bioengineering at Penn. He received his BS degree from the Johns Hopkins University with major in Biomedical Engineering and minor in Computer Science and Math. His research interests include medical image computing, machine learning, biomedical engineering, and biomedical data science.

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Qipeng Zhan, BS, MS

Qipeng Zhan, BS, MS

PhD Student
 qipengz@sas.upenn.edu

Qipeng Zhan is a PhD student in Applied Mathematics and Computational Science at Penn. He received his MS degree in Applied Mathematics from ETH Zürich. His research interests include applied mathematics, deep learning and related statistical and computational problems.


Master's Students

Aaron Chacko, BS

Aaron Chacko, BS

Master's Student
 Aaron.Chacko@uphs.upenn.edu

Aaron is a Biomedical Informatics student who is passionate about the intersection of medicine and technology. His research interests include machine learning, precision medicine, and data mining.

LinkedIn

Yanbo Feng, BS

Yanbo Feng, BS

Master's Student
 yanbof@seas.upenn.edu

Yanbo Feng is an MS student in Bioengineering at Penn. He joined the Shen lab in November, 2021. He is interested in machine learning, deep learning, and brain-computer-interface.

Brian Lee, BS

Brian Lee, BS

Undergraduate Student with Accelerated Master's Status
 leebn@sas.upenn.edu

Brian is a master’s student in the Bioengineering program and undergraduate in the Biology department at Penn (C’22, GEng ’23). He was a CASURG scholar in 2020. He is broadly interested in using computational techniques to make sense of biological/biomedical data; currently, he studies multi-omics and genetic data to better understand biological contributors to Alzheimer’s disease.

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Yamei Lu, BA

Yamei Lu, BA

Master's Student
 luyamei@upenn.edu

Yamei is an MS student in the Data Analytics Master of Science in Social Policy program in the School of Social Policy & Practice. She is interested in applying machine learning and big data techniques to real-world biomedicine problems.

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Anusha Phadnis, BS

Anusha Phadnis, BS

Master's Student
 yanbof@seas.upenn.edu

Anusha is an MSE student in Scientific Computing at Penn. Her research interests include Computational Biology and Scientific Computing.

Xinkai Wang, BS

Xinkai Wang, BS

Master's Student
 wxinkai@sas.upenn.edu

Xinkai Wang is a master's student in Applied Mathematics and Computational Science at Penn. He joined the Shen lab in February, 2022. He is interested in computer science, machine learning, cognitive science, and biomedical data science.

Zexuan Wang, BS

Zexuan Wang, BS

Master's Student
 zxwang@sas.upenn.edu

Zexuan Wang is a master's student in Applied Mathematics and Computational Science at Penn. He graduated from the University of Virginia in May 2021 after studying Mathematics and Physics. He is interested in the intersection of statistical methods and machine learning.

Ruiming Ray Wu, BS

Ruiming Ray Wu, BS

Undergraduate Student with Accelerated Master's Status
 wuru@seas.upenn.edu

Ray is a master’s student in the Data Science program and undergraduate in the Bioengineering and Computer and Information Science programs at Penn. His research interests include machine learning, network analysis, and brain interface.

Linkedin

Yuezhi Xie, BA

Yuezhi Xie, BA

Master's Student
 debxie@upenn.edu

Yuezhi is an MS student of Social Policy and Data Analytics in the School of Social Policy & Practice. Her interest lies in the area of machine learning, data ethics, and big data analytics.

LinkedIn

Jia Xu, BS

Jia Xu, BS

Master's Student
 jiaxu7@upenn.edu

Jia Xu is a master's student in the Data Analytics Master of Science in Social Policy program in the School of Social Policy & Practice. She is passionate about applying machine learning and big data science in biomedicine. Her research interests include machine learning, data mining, and biomedical data science.

Wenxi Yang, BS

Wenxi Yang, BS

Master's Student
 ywenxi@sas.upenn.edu

Wenxi Yang is a master student in Applied Mathematics and Computational Science at Penn. His interests include theoretical analysis and applications Machine Learning and Optimization Methods.

Zhouping Zhou, BS

Zhouping Zhou, BS

Master's Student
 zhuopinz@sas.upenn.edu

Zhouping Zhou is a master's student in Applied Mathematics and Computational Science at Penn. She joined the Shen lab in June, 2022. Her research interests include applied mathematics, machine learning and deep learning.


Undergraduate Students

Jin-seo Kim

Jin-seo Kim

Undergraduate Student

Jin-seo is a CIS and Cognitive Science student at Penn, and an undergraduate Kwanjeong International Scholar. His research interests include neuroscience and computer science.

Amanda Lee

Amanda Lee

Undergraduate Student

Amanda is a Biology and CIS student at Penn. She is interested in the utilization of machine learning in healthcare.

Augustin Liu

Augustin Liu

Undergraduate Student

Augustin is a CIS and Physics student at Penn.

Isabel Lopez

Isabel Lopez

Undergraduate Student

Isabel Lopez is a Neurobiology major and Computer Science minor at Georgetown University. She is an incoming SUIP scholar at Penn. She is interested in how machine learning and big data analysis can advance treatments for neurodisorders.

Linkedin

Jeffrey Qu

Jeffrey Qu

Undergraduate Student

Jeffrey is currently studying Computer and Information Science at Penn. He joined the Shen Lab as part of the PURM program in May 2020. He is interested in applying machine learning for outcome prediction within healthcare.

LinkedIn