Center for Data Science™

Center for Data Science™ knowledge, tools, and resources are helping to digitally enable nurses of every level in preparation for the 21st Century. Emory is training an expanding pipeline of nurse leaders in emerging areas like data science, AI, machine learning, and design thinking. And we are sharing the tools necessary for other nursing schools to implement informatics standards like those laid out in the 2021 AACN Essentials.


How do you empower faculty, scientists, and nursing students across the U.S. to lead data-driven health system change in their courses, capstones, and careers? How do you introduce scientists to new ‘omics data and techniques to reveal underlying keys to disease and symptom management? How do you immerse students, nurses at the bedside, and nurse scientists in laboratories in hands-on digital learning so that tools and technologies become second-nature to them?

Emory Nursing’s Center for Data Science™ is answering questions such as these, and bringing the power of data-driven thinking to bear on the greatest challenges in healthcare and scientific discovery today. Founded in 2015 by Dean Linda McCauley, with the hiring of renowned biostatistician Dr. Vicki Hertzberg, Center for Data Science™ was built to “unlock the power of data to help solve nursing’s most urgent problems.”

Since then, the Center has grown into a global hub for nurse-led innovation. Center for Data Science™ knowledge, tools, and resources are helping to digitally enable nurses of every level in preparation for the 21st Century. Emory is training an expanding pipeline of nurse leaders in emerging areas like data science, AI, machine learning, and design thinking. And we are sharing the tools necessary for other nursing schools to implement informatics standards like those laid out in the 2021 AACN Essentials.

Each of the nurse leaders whose professional growth is accelerated by Center for Data Science™ goes on to solve problems, discover knowledge, and change lives. With a reach that crosses borders and disciplines, it can be difficult to quantify this impact. For Emory Nursing, the return on investment has been significant, with more than $26.5 million in external research grants right now supported by the Center (more than $56.1 million since 2016). And that’s to say nothing of the people, communities, nurses, and systems that have been impacted by Center for Data Science™ breakthroughs.



Center for Data Science™ Directors are leading creating the infrastructure and standards necessary for nurses across the US to effectively use data in their research, practice, or leadership roles. The data strategies deployed by Center for Data Science™ teams are continuously evaluated and refined under the leadership of Dr. Roy Simpson, Assistant Dean for Technology Management.  

Roy Simpson - CDS
Professor, Assistant Dean for Technology | DNP, RN, DPNAP, FAAN, FACMI

Dr. Simpson lectures extensively around the world and has published more than 500 articles on nursing informatics. He also sits on 12 editorial review boards, and is a fellow of the American Academy of Nursing, New York Academy of Medicine and the National Academies of Practice. He attained a doctorate in nursing practice, executive leadership/informatics, from American Sentinel University.

Vicki Hertzberg - CDS
Professor, Founding Director | PhD, FASA

Dr. Hertzberg, PhD, is Professor in the Nell Hodgson Woodruff School of Nursing at Emory University. She also has courtesy appointments as a professor in the Departments of Biostatistics & Bioinformatics, Computer Science, and Mathematics at Emory. Dr. Hertzberg received her BS cum laude from Miami University in 1976 and her PhD in biostatistics from the University of Washington in 1980. She then served on the Division of Biostatistics and Epidemiology faculty at the University of Cincinnati until moving to Emory University in 1995 to become chair of the Department of Biostatistics in the Rollins School of Public Health. In 2015, she moved to the Nell Hodgson Woodruff School of Nursing where she founded and continues to direct the Center for Data Science.

Xiao Hu - CDS
Professor, Asa Griggs Candler Chair of Nursing Data Science | PhD

Dr. Hu conducts research at the intersection of computational and health sciences where he develops signal processing, mathematical modeling, machine learning, and deep learning algorithms to transform physiological and clinical data into actionable information for improving patient care. Through his research, Hu has created knowledge advancing the relationship among clinicians, scientists, engineers, innovators, policy makers, and healthcare administrators. Dr. Hu also serve as Associated Faculty of Biomedical Informatics, School of Medicine and Associated Faculty of Computer Science, College of Arts and Sciences and serves as advisory board for the AI Humanity Initiative.


Ran Xiao - CDS
Assistant Professor | PhD

Dr. Xiao is a biomedical engineer by training, with a research focus on applying engineering principles, machine learning, and data science to healthcare research. Ran received his M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Oklahoma in 2015. He then received his postdoctoral training at the University of Southern California and the University of California San Francisco. Before joining Emory, he was an Assistant Professor at Duke University School of Nursing from 2020-2022. He is also a recent AI recruit in AI Humanity Initiative.

Madelyn Houser - CDS
Research Assistant Professor | PhD

Dr. Houser earned her PhD in Emory’s Immunology and Molecular Pathogenesis program and has extensive experience with laboratory and computational research studying the interplay between gut microbes and the host immune system and the role of inflammatory processes in chronic disease. She works collaboratively with numerous research teams, contributing topical as well as methods expertise and technical skills in bioinformatics and analysis of omics data sets. Consistent themes in Dr. Houser’s research are the integration of multiple data sources (often including microbiome, metabolomics, and/or inflammation-related data) and assessment of the interactions of complex systems to identify risk factors and contributors to adverse health outcomes.

Monique Bouvier - CDS
Assistant Professor | PhD, RN, BC-PNP

Monique Bouvier is an Assistant Professor for Emory University, School of Nursing and a research nurse scientist for Emory Healthcare. She is working on nursing care delivery model redesign and improvements in nursing documentation. She has mentored and guided numerous frontline nurses and nurse leaders on research, EBP, and quality improvement.  She has authored several articles for peer-reviewed journals and has presented at conferences nationally and internationally.  She obtained her PhD from the University of San Diego with her research focus on influenza-like illness and symptomatology.

Wenhui (Vivian) Zhang - CDS
Wenhui (Vivian)
Research Assistant Professor | PhD, MS

Dr. Zhang earned her BSN from the Xiang-Ya Schools of Medicine  and Nursing, Central South University, China. Together with her PhD in  Nursing, she obtained a master’s degree in Statistics (Department of  Statistics and Data Science), a minor portfolio certificate in Aging and  Health (Department of Human Development and Family Sciences), and training in  health informatics and telehealth at the University of Texas at Austin. She  then completed a 2-year postdoctoral training in the Center for Data Science,  Emory University NWH School of Nursing. During these two years, she received  further training in geriatrics, data science, clinical informatics, and  omics. She also advanced her multimorbidity research training with the Center  for the Study of Symptom Science, Metabolomics, & Multiple Chronic  Conditions.

Joyce Ho - CDS
Associate Professor | PhD

Dr. Ho has a Ph.D. in Electrical and Computer Engineering from  the University of Texas at Austin, and an M.A. and B.S. in Electrical  Engineering and Computer Science from Massachusetts Institute of Technology.  Her research involves the development of novel data mining and machine  learning algorithms to address problems in healthcare. She has papers in  premier journals and conferences across both computer science and clinical  venues including KDD, AISTATS, TKDD, AMIA, JMLR, and JBI. Her work received  the best paper award at the 2017 AMIA Joint Summits on Translational Science.  She also co-founded a successful healthcare analytics company (Accordion  Health) and previously worked at Lawrence Livermore National Laboratory.

Yin Lin - CDS
Assistant Professor, tenure track | PhD

Dr. Li’s research is aimed at uncovering knowledge related to  nursing workforce, as well as the costs and quality of care at both the  national and international levels. Dr. Li has an interdisciplinary education  and training in medicine, nursing, economy, business, and sociology. She also  has extensive background and experience in data management and analysis,  especially using large datasets. Her dissertation used an economic theory to  examine the primary care nurses’ contributions to the quality of primary care  and their economic returns. Currently funded studies focus on developing a  business case for employment of hospital-based advanced practice registered  nurses and examining how nursing licensure compact may improve the response  to natural disaster (both funded by NCSBN).

Sangmi Kim - CDS
Assistant Professor, tenure track | PhD, MPH, RN

Dr. Kim is committed to reducing the racial/ethnic disparities  in women's and fetal health outcomes by identifying at-risk populations based  on their psychosocial and biological chronic stress profiles as well as  cultivating their resilience. She earned her doctoral degree at the  University of Pennsylvania School of Nursing with her dissertation addressing  the role of chronic stress in the different maternal age patterns of preterm  birth (PTB) among four major racial/ethnic groups of pregnant women in the  U.S. She has participated in multiple pilot and national-level research  projects that developed and tested culturally tailored, technology-based  intervention programs among Asian American women in unique health needs  (e.g., midlife women and breast cancer survivors).

Ron	Eldridge - CDS
Assistant Professor, research track | PhD, MPH

Dr. Eldridge received his B.S. from Loyola University Chicago,  his MPH from the Rollins School of Public Health, and his PhD from Emory  University. He is an expert in the fields of cancer epidemiology, causal  inference methods, applied statistics, and data analysis. He uses his  interest in advanced methods to study the biological mechanisms of cancer  symptoms and survival. Currently, he is involved in identifying the  differential metabolic pathways of head and neck cancer survival through  high-resolution metabolomics and identifying complex longitudinal patterns in  cancer patient reported outcomes that predict poor survival.

Jeannie Cimiotti - CDS
Associate Professor, tenured | PhD, RN, FAAN

Dr. Cimiotti is an internationally recognized health services researcher with expertise in nurse workforce issues and the quality of patient care. Her research has been cited for its expertise on nurse outcomes such as job dissatisfaction, burnout, and patient outcomes, specifically healthcare-associated infections and the sequela of infection such as extended lengths of stay, hospital readmissions, and mortality. Her work on healthcare-associated infections has been nationally and internationally recognized through NBC News, the Daily Mail, Modern Healthcare, and National Public Radio (NPR). Dr. Cimiotti is a Fellow in the American Academy of Nursing, a Distinguished Fellow in the National Academies of Practice, and a member of Sigma Theta Tau International. She currently serves as a Health Services Research & Development reviewer for the U.S. Department of Veterans Affairs.

Aleksandr Fedorov - CDS
Assistant Professor , PhD, MS, BS

Dr. Fedorov is committed to developing trustworthy medical artificial intelligence systems across diverse healthcare data. His research focuses on developing novel semi-supervised and self-supervised multimodal machine learning algorithms designed to adapt seamlessly to new data, promoting broader clinical applications. Throughout his academic pursuits, Dr. Fedorov has amassed invaluable experience by presenting his work at venues such as ICLR, NeurIPS, MICCAI, and IEEE, as well as interning at leading technology companies such as Meta, Descript, Microsoft Research, and the academic lab Mila - Quebec AI Institute, led by 2018 A.M. Turing Award recipient, Dr. Yoshua Bengio. Dr. Fedorov earned his Ph.D. in Electrical and Computer Engineering at the Georgia Institute of Technology. He obtained an MS in Electrical and Computer Engineering from the University of New Mexico. Additionally, he holds a BS in Computer Science and an MS in Applied Mathematics, both from the Moscow Institute of Electronic Technology.


Hsiao Hung-I - CDS
Post-Doctoral Researcher | PhD

Dr. Hung-I currently a post-doctoral fellow participating in the development and use of innovative machine learning algorithms and tools to describe and forecast nursing quality indicators is my responsibility. I contribute to the development of papers for peer-reviewed journals and grant proposals for funding agencies.

Shafiul Hasan - CDS
Post-Doctoral Researcher | PhD, MS

Dr. Hasan earned his PhD in Electrical and Computer Engineering from Florida International University. As a postdoctoral fellow, he is responsible for the integration of data from electronic health records with physiological data to develop predictive models for post stroke cognitive impairment and dementia. His work also includes analysis of neurophysiological signals (EEG, blood flow velocity, blood pressure, and intracranial pressure) using various signal processing, machine learning, and data analysis techniques.

Altansuren Tumurbaatar - CDS
Post-Doctoral Researcher | PhD

Dr. Tumurbaatar working on the Nursing Quality Indicator projects to detect pressure injury using EHR data, temporal network analysis, and machine learning models. Dr. Tumurbaatar earned her PhD in Mathematics and MS in Computer Science from Washington State University. Her research focuses are algebraic graph algorithms, machine learning, deep learning, computational topology, and their applications in Biomedical and Health Science.

Tyrome S. Sweet Jr. - CDS
Tyrome S.
Sweet Jr.
Post-Doctoral Researcher | PhD, MS

Dr. Sweet earned his PhD and MS in Quantitative and Systems  Biology from the University of California Merced where he focused on  microbial ecology and leveraging data analytics and Software engineering to  learn more about bacteriophages and their impacts on biological ecosystems.  Dr. Sweet also has 10 years of industry experience as a software engineer for  both enterprise IT systems and scaling startup company software systems. He  focuses on data collection, database maintenance, and/or data integration,  data analysis/visualization and 'Omic Sciences.

Mustapha Oloko-Oba - CDS
Post-Doctoral Researcher | PhD, MSc Computer Science

Dr. Mustapha is a post-doctoral fellow and earned his doctorate  (PhD) in Computer Science from the School of Mathematics, Statistics and  Computer Science, University of KwaZulu-Natal, Durban, South Africa. His  research interest focuses on learning algorithms (Machine Learning and Deep  Learning) models to solve Artificial Intelligence and Data Science problems.

Nirbhay Modhe - CDS
Post-Doctoral Researcher | PhD

Dr. Modhe received his PhD in Computer Science from the School of Interactive Computing within the College of Computing at Georgia Tech, where I was advised by Prof. Dhruv Batra. He received his bachelor’s degree in Computer Science from IIT Kanpur, where he worked with Prof. Piyush Rai. He is working on reinforcement learning algorithms for biomedical data analysis and sequential decision making in medical treatment.

Fahimeh Mohagheghian - CDS
Post-Doctoral Researcher | PhD

Nell Hodgson Woodruff School of Nursing

Fahimeh Mohagheghian earned her PhD from Shahid Beheshti University of Medical Sciences in Tehran, Iran. During her doctoral studies, her research focused on brain mapping, EEG source reconstruction methods, as well as connectivity and network analysis approaches, specifically on EEG data recorded from patients with tinnitus. Following the completion of her PhD, Dr. Mohagheghian joined Professor Chon's lab (Biosignal Processing and Wearable Device Lab) at UConn as a Postdoctoral Research Associate. In this role, she explored various techniques to process data from PPG, ECG, and accelerometers, which were collected from individuals with cardiac conditions in a project named "Pulsewatch". In Dr. Hu's lab at Emory, Dr. Mohagheghian's current research revolves around developing algorithms for the creation of a continuous early warning system to rapidly detect and predict delayed cerebral ischemia (DCI) in patients with aneurysmal subarachnoid hemorrhage (aSAH).


Cheng Ding - CDS
PhD of Biomedical Engineering | MS

Cheng Ding is a PhD student in Biomedical Engineering joint program from Georgia Tech and Emory University advised by Dr. Hu. His research focuses on using AI/ML techniques on physiological signal and EHR data to detect heart diseases. He is advising several undergrad and master students on Deep Learning.

Colette Masunaga - CDS
Master of Nursing (MN)| MBA

Colette is a Graduate Research Assistant focusing on artificial intelligence and machine learning in clinical nurse practice. Other projects include annotation of clinical notes, waveforms, and PPG signals, as well as facilitation of research presentations.

Ruochen Kong - CDS
Master of Comp Sci| BS

Ruochen is a master student in Computer Science and her project compare and develop methods for segmenting out bad quality signals from PPG signals, which will test on multiple datasets.

Jennifer Jiang - CDS
Undergraduate of Quantitative Sci

Jennifer is an undergraduate student majoring in Quantitative Science, and her project in our center is the seizure onset project, where she manually categorize the seven types of seizure, and later extract the necessary data like duration or linelength from the graph or dataset.

Tae Yeon Kim - CDS
Tae Yeon
Undergraduate of Math & Comp Sci

Tae Yeon is an undergraduate student, BS in Mathematics & Computer Science an she is working on seizure categorization and prediction from EEG data using machine learning under Dr. Hu's supervision.


Ramya Govindarajan - CDS
Database Projects (SON), Dir

Ms. Govindarajan leads efforts to enhance healthcare research and incorporate data literacy into healthcare education of all levels. Merging her experience in diverse informatics areas such as bioinformatics, public health informatics and healthcare informatics, she has led the development of several unique, proprietary data science resources. She is also involved in curriculum development and teaching to incorporate data literacy in nursing education. She is currently leading the national implementation of Project NeLL, an EHR big database and suite of applications for teaching data science.

Del Bold - CDS
Rsrch Data/Informatics Specialist, Sr| MSC

Ms. Bold is a Full-Stack developer and data engineer assisting on various research projects with signal processing, image processing, natural language processing and machine learning model integrations. She has a role as Cloud/Solutions architect, Full Stack Developer on NIH Bridge2AI initiative. She is also an EPIC Data Model trained BI developer.

Kaitlyn Bateh - CDS
Clinical Research Coordinator | BS

Ms. Bateh performing a network analysis on cognitive domains based on cognitive assessment data. Her team are also conducting a scoping review to investigate digital cognitive assessments used for post-stroke adult patients. In clinical trials, she create the protocol and patient consent documents and oversee the IRB submission for our research projects. The main clinical trial she will be a part of is NOVEL, which focuses on utilizing medical devices to non-invasively monitor intracranial pressure in the Neuro ICU.

Corey Williams - CDS
Clinical Research Coordinator | BS

Mr. Williams will be performing duties to support an atrial  fibrillation multidisciplinary study monitoring patients using wearable  devices. He will be contributing to data analysis and reporting with  opportunities to co-author publications and develop grant proposals. His  previous work included coordinating cellular therapy clinical trials at Winship Cancer Institute with past experiences of non-interventional studies  during his time at a NCI comprehensive cancer center in Tampa, FL. He is  currently pursuing his Master’s degree in Public Health at Emory University  Rollins School of Public Health in pursuit to becoming a public health professional.


Unlocking Nursing’s Potential

Nurses have always led from the frontline, creating clever ways of thinking and doing in order to improve the care of patients and communities. Alcohol wipes, sanitary pads, the crash cart, ostomy bags, color-coded IV lines? The fundamental belief that hospitals should be clean and well ventilated? All invented by a nurse.  

For centuries, nurses have forged innovative pathways—despite being hard pressed for time, resources, and institutional support. Emory Nursing has decided to change this narrative and see what happens when disruptive nurses are told ‘yes’ and given the tools they need to bring new ideas to life.  

The Center for Data Science™ is the at the heart of this vision, providing:    

  • Immediate access to searchable, downloadable big data that are clean, organized and HIPPA compliant (through Project NeLL)
  • The teaching and learning tools nurses need to effectively use data  
  • Scientific mentorship on how to analyze and apply ‘omics data, including metabolomics and microbiome datasets  
  • The means to create, patent, and learn from real-time biological and environmental sensors
  • The professional support and industry connections necessary to develop products  

In addition, Center for Data Science™ faculty and staff are playing a lead role in the development of the Innovation Hub, the Simulation Center, and the smart connected classrooms coming to the Emory Nursing Learning Center (ENLC). With 70,000 sq. ft of dynamic space in Downtown Decatur, the ENLC will soon link students and faculty with community, non-profit, and corporate partners who can help to propel innovative ideas.  


Coming soon.


The Center for Data Science™ welcomes all change makers, innovators, and entrepreneurs. If you are dissatisfied with the status quo, and you’d like to do something about it, contact Vicki Hertzberg at To access Project NeLL, email


The Center for Data Science™ welcomes all change makers, innovators, and entrepreneurs. If you are dissatisfied with the status quo, and you’d like to do something about it, contact Vicki Hertzberg at To access Project NeLL, email

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