We launched the first formal PhD program in Data Science in 2015. Our program sits at the intersection of computer science, statistics, mathematics, and business. Our students engage in relevant research with faculty from across our eleven colleges. As one of the institutions on the forefront of the development of data science as an academic discipline, we are committed to developing the next generation of Data Science leaders, researchers, and educators. Culturally, we are committed to the discipline of Data Science, through ethical practices, attention to fairness, to a diverse student body, to academic excellence, and research which makes positive contributions to our local, regional, and global community.
Herman Ray, Director, Ph.D. in Data Science and Analytics
About the Doctoral Degree in Data Science and Analytics
This degree will train individuals to translate and facilitate new innovative research, structured and unstructured, complex data into information to improve decision making. This curriculum includes heavy emphasis on programming, data mining, statistical modeling, and the mathematical foundations to support these concepts. Importantly, the program also emphasizes communication skills – both oral and written – as well as application and tying results to business and research problems.
Because this degree is a Ph.D., it creates flexibility. Graduates can either pursue a position in the private or public sector as a "practicing" Data Scientist – where continued demand is expected to greatly outpace the supply - or pursue a position within academia, where they would be uniquely qualified to teach these skills to the next generation.
Data Science and Analytics PhD Curriculum
Stage One: Pre-Program Requirements
Successful applicants will have completed a masters degree in a computational field
(e.g., engineering, computer science, statistics, economics, finance, etc.)
Applicants are expected to have deep proficiency in at least one analytical programming
language (e.g., SAS, R, Python). SQL and Java are helpful but not required.
Students take up to 9 credit hours of 6000- or 7000-level courses in DS, STAT, or
CS with permission of the program director. Students take any 8000- or 9000-level
course in DS, STAT, MATH, CS or IT, or the HHS courses in the mHealth concentration.
Computer Science Concentration
at least 15 credit hours in CS courses at 8000 or 9000 levels (except CS 9900)
Statistics Concentration
at least 15 credit hours in STAT courses at 8000 or 9000 levels
HHS 8020 - mHealth Applications orHHS 8030 - Advanced Special Topics in mHealth
Develop Dissertation Research Proposal
Year 3
DS 9700 Doctoral Internship/Research Lab
DS 9900 Dissertation
Teaching
Dissertation Proposal Defense
Year 4
DS 9900 DissertationFinal Dissertation Defense
Stage Three: Project Engagement and Research/Dissertation
Relevant, interdisciplinary research forms the foundation of the Ph.D. in Data Science
and Analytics. While students are encouraged to engage in research from their first
semester, the last two years of the program are structured to help students transition
into becoming independent, lead researchers. In this last stage of the program, students
will work with research faculty, including their advisor, in one of our data science
research labs.
Program Student Learning Outcomes
At the end of the program, students will be able to:
Demonstrate their understanding of the research process
Demonstrate mastery of core concepts relevant to three key areas in mathematics, statistics
and computer science
Develop themselves as professionals prepared for work as a doctoral-educated individual
beyond graduation
This is a traditional Ph.D. Program. We expect that individuals will complete the
program in 4-5 years. This will include completion of course work in years 1-3 and
completion of Project work and Research/Dissertation work in Year 4-5.
How much does the program cost?
This is a traditional, in-residence, STEM Ph.D. Program - not a professional doctorate.
Therefore, qualified students will receive a tuition waiver and a research stipend.
Who would be successful in the program?
Individuals who have an undergraduate/MS degree in a quantitative field (i.e. Engineering,
Economics, Mathematics, Statistics, Finance) are particularly strong candidates. Successful
applicants will have some previous experience with programming languages as well as
have completed a calculus series.
Where do these graduates work after graduation?
The Ph.D. in Data Science and Analytics is a flexible degree which will enable graduates
to work in the private sector as a senior executive in an analytics organization as
well as pursue a career in academics - teaching the next generation of data scientists.
What are the publication/research requirements?
Successful completion of the program will require students to defend a doctoral research
dissertation. Students, working with their faculty research advisor, will be expected
to submit research papers to competitive conferences and to peer-reviewed journals.
Student research projects should be aligned with their project engagement requirement.
What did Science Doctoral Students Study?
Analytics
Applied Computer Science
Applied Economics and Statistics
Applied Statistics
Applied Mathematics
Bioinformatics
Business Analytics
Chemical Biology
Computer Science
Data Science
Forecasting & Strategic Management
Integrative Biology
Public Admin in Economic Policy Mgmt
Mathematics
Mechanical Engineering
Software Engineering
Statistics
What is the Project Engagement requirement?
Successful completion of the program will require students to complete a minimum of
9 credit hours in Project Engagement, which will take the form of a research project
(as approved by the director) with an external sponsor in the private or public sector.
Kennesaw State University has relationships with dozens of organizations across a
wide range of application domains to ensure that individuals have the opportunity
to participate in a project engagement aligned with their research interests.
Can I pursue the program part- time while I am working full-time?
No. The program is a full-time traditional Ph.D. program. Students will engage in
substantive project-based work, research, teaching, and internship/practicums. Students
receive a research stipend to cover living costs.
Can I live on campus?
Yes. The university provides on-campus housing at both our Kennesaw and Marietta campuses.
There is also off campus student housing within a mile of the campus - most of which
is on the bus line for the university.
Are the courses online?
No. The courses are face-to-face and in-class. Most courses have a student-faculty
ratio of less than 15 students per faculty. All Ph.D. students will have a faculty
advisor.
Ph.D. in Data Science and Analytics Student Cohorts
2024 - 2025
Sharanya Dv
Bachelor's Degree: Physics, Computer Science and Mathematics, St. Aloysius College, Mangalore, India
Master's Degree: Data Science, VIT-AP University, Amaravati, Andhra Pradesh, India
Work History: Data Modernization Team Intern, Google Cloud Partner, Niveus Solutions Pvt. Ltd.
Professional Objective: My goal is to contribute effectively to data-driven decision-making processes and
to continuously develop my expertise in the ever-evolving field of data science.
Master's Degree: Data Science from Lewis University
Professional Objective: to make meaningful contributions to a wide breadth of interdisciplinary fields through
the medium of data science, both in academia and industry. Right now, I am interested
in the applications of deep learning on medical imaging data across various modalities
and in topological data analysis.
Lawal J., Zhiri A., Muritala F., Ibrahim R., Lukonde A., “Mathematical Modeling for Mycobacterium Tuberculosis” Journal of Balkan Science and Technology 2024. DOI: 10.55848/jbst.2024.41
Austin. R.B., Muritala F., “A Nonparametric Process Capability Index for Multiple Stream Processes”. 2024 Joint Statistical Meeting Conference Paper, August 2024, Portland, Oregon.
Award: J. Stephen and Jennifer Lewis Priestley Doctoral Endowed Scholarship, Kennesaw State
University. August 2024.
Professional Objective: to utilize my mathematics, data science, and educational skills to become a leading data scientist and researcher and make a positive impact. I am open to exploring opportunities in academia and industry and eager to learn, relearn, and grow in a dynamic research environment.
Bachelor's Degree: Computer Science, Southern Polytechnic State University
Master's Degree: Computer Science, Southern Polytechnic State University/Kennesaw State University
Work History: Four decades of IT, currently in the Research Division of the Federal Reserve Bank of Atlanta
Professional Objective: prepare to be a more effective professor
Benjamin Watson
Bachelor's Degree: Mathematics, Morehouse College
Master's Degrees: Mathematics Education, Georgia State University; Data Science and Analytics, Kennesaw
State University (in progress)
Work History:
Limited Term Instructor, Kennesaw State University
Reporting Business Analyst, Northeast Georgia Health System
Virtual Mathematics and Computer Science Instructor, Imagine Learning
Mathematics Instructor, Dekalb County School District
Professional Objective: I am seeking to apply combinatorial data analysis to drive innovation in healthcare
through patient subtyping, drug discovery, and generative AI. I am also committed
to advancing data science research and contributing to academic instruction.
Fulbright Scholarship award for Master’s degree in Data Science
Aga Khan Education Service Pakistan, merit cumulative need based scholarship for Bachelors in Software Engineering
Professional Objective: My main motivation behind getting a degree in Data Science is to receive and perform qualified research experience in Data Science and public health
Bachelor's Degree: Chemical Engineering, Ladoke Akintola University of Technology
Master's Degree: Data Science, Auburn University
Work History:Graduate Research Assistant, Auburn University
Courses Taught:Python Programming
Publications:Larson EA, Afolabi A, Zheng J, Ojeda AS. Sterols and sterol ratios to trace fecal contamination: pitfalls and potential solutions. Environ Sci Pollut Res Int. 2022 Jul;29(35):53395-53402. doi: 10.1007/s11356-022-19611-2. Epub 2022 Mar 14. PMID: 35287190
Professional Objective: To work as a research data scientist in the industry
Dinesh Chowdary Attota
Bachelor's Degree:Computer Science, Jawaharlal Nehru Technological University Kakinada (JNTUK), India
Master's Degree:Computer Science, Kennesaw State University
Work History:Associate Consultant, SL Techknow Solutions India Pvt Ltd, India 2018 - 2020
Bachelor's Degree: Microbiology, University of Tennessee - Knoxville
Master's Degree:Integrative Biology, Kennesaw State University
Work History: Instructor of Biology, Kennesaw State University
Courses Taught:Nursing Microbiology Lectures and Labs, Introductory Biology Labs, Biotechnology Lectures
and Labs
Publications:
Parker RA, Gabriel KT, Graham K, Cornelison CT. Validation of methylene blue viability
staining with the emerging pathogen Candida auris. J Microbiol Methods. 2020 Feb;169:105829.doi: 10.1016/j.mimet.2019.105829. Epub 2019 Dec 27. PMID: 31884053.
Parker RA, Gabriel KT, Graham KD, Butts BK, Cornelison CT. Antifungal Activity of
Select Essential Oils against Candida auris and Their Interactions with Antifungal
Drugs. Pathogens. 2022 Jul 22;11(8):821.doi: 10.3390/pathogens11080821. PMID: 35894044; PMCID: PMC9331469.
Awards:Best Graduate Poster: Symposium for Student Scholars hosted by Kennesaw State University
(Fall 2018) for Poster: "Antifungal Activity of Select Essential Oils and Synergism
with Antifungal Drugs against Candida auris"
Professional Objective: To apply Data Science techniques to large scientific datasets, such as genomic and
astronomical data, and to help bridge the gap between disparate fields by working
in an interdisciplinary space to offer integrative and data-driven solutions to the
increasingly complex problems presented to the traditional Sciences.
Bachelor's Degree:Forecasting and Strategic Management, Saint-Petersburg State University of Economics
and Finance, Russia
Master's Degree:Forecasting and Strategic Management, Saint-Petersburg State University of Economics
and Finance, Russia; Public Administration in Economic Policy Management, School of
International and Public Affairs, Columbia University
Work History:
from Data Analyst to Head of Research Unit, Central Bank of Kyrgyz Republic
Sr. Data Scientist in OJSC, Aiyl Bank, Kyrgyzstan
Consultant, The World Bank, Washington D.C.
Courses Taught:Financial Programing in the Central Bank, Monetary Policy Transmission Mechanism
Service and Awards:Winner of the Joint Japan/World Bank Graduate Scholarship Program, National Bank Silver
Medal for Best Forecast
Professional Objective:I want to found a successful Fintech startup one day.
Bachelor's Degree:Statistics, Biostatistics and Informatics, University of Dhaka, Bangladesh
Master's Degree:Statistics, University of Toledo, OH
Work History:
Research Assistant: US Army Research Lab, Kennesaw State University
Consultant, Statistical Consulting Service, University of Toledo
Graduate Teaching Assistant, University of Toledo
Courses Taught:Calculus and Business Calculus, Facilitated students’ study of Statistics courses at the University of Toledo.
Professional Objective:To work as a researcher in the industry or as a faculty. I am primarily interested
in the application of machine learning in different fields.
Bachelor's Degree: Electronics and Computer Engineering, K L University, India
Master's Degree: Applied Computer Science, Columbus State University
Work History:
T-Mobile, Seattle, WA, USA: Sr. Data analyst, 2018- 2021
UITS, Columbus State University, Columbus, GA, USA: Data Analyst -Graduate assistant,
2016-2018
Menlo Technologies, India: Jr. Data Analyst, Intern, 2014- 2016
Courses Taught:DATA 4310 - Statistical Data Mining
Publications:
Anti-Phishing Approaches in the Era of the Internet of Things. In: Pathan, AS.K. (eds)
Towards a Wireless Connected World: Achievements and New Technologies. Springer, Cham
-https://doi.org/10.1007/978-3-031-04321-5_3
M. Boyapati and R. Aygun, "Phishing Web Page Detection using Web Scraping," SoutheastCon
2023, Orlando, FL, USA, 2023, pp. 167-174, doi: 10.1109/SoutheastCon51012.2023.10115148.
M. Boyapati and R. Aygun, "Default Prediction on Commercial Credit Big Data Using
Graph-based Variable Clustering," 2023 IEEE 17th International Conference on Semantic
Computing (ICSC), Laguna Hills, CA, USA, 2023, pp. 139-142, doi: 10.1109/ICSC56153.2023.00029.
Boyapati, M., Aygun, R. (2023) Explainable Machine Learning for Default Prediction
on Commercial Credit Big Data Using Graph-based Variable Clustering. In Encyclopedia
with Semantic Computing and Robotic Intelligence VOL. 0 https://doi.org/10.1142/S2529737623500119
Service and Awards:
Winners of Dataiku March Madness Bracket-thon, 2021 in predicting the NBA bracket
Winners of 2021 Analytics Day Ph.D. level research poster presentation
Professional Objective:To leverage strong analytical and technical abilities to research and develop effective
data models, visualize data, and uncover insights that makes an impact in field of
data science
Bachelor's Degree:Applied Mathematics and Statistics, University of KwaZulu-Natal, South Africa
Master's Degree:Statistics, University of KwaZulu-Natal, South Africa
Courses Taught:Introduction to Statistics, University of KwaZulu-Natal
Publications:
Grundlingh, N., Zewotir, T., Roberts, D. & Manda, S. Modelling diabetes in South Africa.
The 61st conference of the South African Statistical Association, 27-29 November 2019,
Nelson Mandela University, South Africa.
Grundlingh, N., Zewotir, T., Roberts, D. & Manda, S. Modelling diabetes in the South
African population. College of Agriculture, Engineering and Science Postgraduate Research
& Innovation Symposium 2019, 17 October 2019, University of KwaZulu-Natal, Westville,
South Africa (the award for best MSc presentation was also received for this).
Grundlingh, N., Zewotir, T., Roberts, D. & Manda, S. Modelling risk factors of diabetes
and pre-diabetes in South Africa. IBS SUSAN-SSACAB 2019 Conference, 8-11 September
2019, Cape Town, South Africa.
Service and Awards:
University of KwaZulu-Natal Postgraduate Research & Innovation Symposium 2019 – Best Masters oral presentation
South African Statistical Association Honours Project Competition 2018/2019 – 2nd place and special prize for best use of SAS
Professional Objective:To work in a teaching position – sharing how data science can be applied to different fields and the positive impact it could have. I would like to use my theological background and passion to bring insight, clarity, and wisdom to data science problems.
Bachelor's Degree:Specialist in Mathematical Methods in Economics, Kyrgyz-Russian Slavic University
Master's Degree:Analytics, Institute for Advanced Analytics at North Carolina State University
Work History:
Expert at the Centre for Economic Research, National bank of the Kyrgyz Republic
Consultant in World Bank project dedicated to strengthening the regulatory practices
in Kyrgyz Republic
Consultant at Deloitte Consulting LLP, Science Based Services group, Analytics & Cognitive
offering
Macroeconomic modeling expert in the Economic Department, National bank of the Kyrgyz
Republic
Courses Taught:Introductory statistics and econometrics (cross-sections, times series and panels)
lecturer at Ata-Turk Alatoo International University, Kyrgyzstan
Sherrill W. Hayes, Jennifer L. Priestley, Namazbai Ishmakhametov, Herman E. Ray. 2020. “I’m not Working from Home, I’m Living at Work”: Perceived Stress and Work-Related Burnout before and during COVID-19”. PsyArxiv Preprints
Namazbai Ishmakhametov, Anvar Muratkhanov.2015. “Modeling strategy of the Bank of the Kyrgyz Republic”. National bank of Poland – Swiss National bank joint seminar. Zurich, Switzerland
Professional Objective:To apply my quantitative skills in the field of biotech either in corporate or government
sector
Bachelor's Degrees:Mathematics, Kennesaw State University, and Computer Science, Kennesaw State University
Master's Degree:Mathematics (Scientific Computing Concentration), Georgia State University
Work History:Senior Lecturer and Math Department Coordinator of Supplemental Instruction, Kennesaw
State University
Courses Taught:Calculus 1, Precalculus, Applied Calculus & College Algebra
Publications:
Haskin, S., Kimitei, S., Chowdhury, M., Rahman, F., Longitudinal Predictive Curves of Health-Risk Factors for American Adolescent Girls. Journal of Adolescent Health. JAH-2021-00601R1
Kimitei, Symon & Sammie Haskin. "Nadaraya-Watson Kernel Regression Longitudinal Analysis
of Healthcare Risk Factors of African American and Caucasian American Girls." Kennesaw State University R Day Presentation. 11 Nov. 2019. Poster presentation.
Kimitei, Symon. " Social Network Analysis in Supreme Court Case Rulings by Precedence Using SAS Optgraph/Python." 23rd Annual Symposium of Scholars. Kennesaw State University. 19 April. 2018. Poster presentation.
Professional Objective:As a Ph.D. student in Analytics & Data Science, I hope to gain skills in the program
that will propel me into a Data Scientist / Machine Learning Engineer with a specialization
in the design and implementation of deep learning & machine learning algorithms.
Bachelor's Degree:Computer Science & Engineering, Amrita Vishwa Vidyapeetham, India
Master's Degree:Computer Science, Florida State University
Work History:Teaching Assistant Professor in Computer Science at an Engineering College in India
Courses Taught:Problem Solving & Program Design through C, Artificial Intelligence, Data Mining
Publications: Kota, Jitendra Sai, Vayelapelli, Mamatha. 2020. "Predicting the Outcome of a T20 Cricket
Game Based on the Players' Abilities to Perform Under Pressure". IEIE Transactions
on Smart Processing and Computing 9(3):230-237.DOI: 10.5573/IEIESPC.2020.9.3.230
Professional Objective:to work in Data Science in a Corporate Environment
Master's Degree:Applied Mathematics, Iran University of Science & Technology, Tehran, Iran
Courses Taught: Numerical Analysis and Linear Algebra, Iran University of Science & Technology
Publications:Noah, G., Sahar, Y., Anthony P. & Hung, C.C. "ISODS: An ISODATA-Based Initial Centroid
Algorithm". Accepted to: 10th International Conference on Information, March 6 - 8,
2021, Hosei University, Tokyo, Japan
Professional Objective:My goal is to become a competent Data Science specialist capable of using my skills
to bring meaning to data, getting a faculty position at a university
Rathgamage Don, D., Iacob, E., ‘Divide and Conquer Support Vector Machine for Multiclass Classification’, Research Symposium (2018), Georgia Southern University.
Rathgamage Don, D., Iacob, E., ‘Multiclass Classification using Support Vector Machines’, MAA Southeastern Section Meeting (2018), Clemson University.
Professional Objective:To work in big data analytics, and research and development of machine learning in
engineering, and medicine
Current Position: Data and Analytics RDP Associate, Equifax
Yihong Zhang
Bachelor’s Degree:Psychology Mathematics Interdisciplinary, Chatham University
Master’s Degree:Mathematics and Statistics Allied with Computer Science, Georgia State University
Work History:
Research Assistant - Collaborated with biomedical department to analyze and visualize microarray gene expression data, Facilitated in data pre-processing and machine learning modeling of clinical liver cirrhosis image data, Assisted in feature engineering of image analysis in deep learning for pathology diagnosis with Mayo Clinic’s pilot project.
Graduate Lab Assistant - Tutored students with statistics and math subjects.
Professional Objective:Make better use of data in healthcare and bioinformatic industry as a data scientist.
Current Position: Lecturer, Data Science and Analytics, Kennesaw State University
Christina Stradwick
Bachelor’s Degree: Music Performance and Mathematics, Marshall University
Master’s Degree: Mathematics with Emphasis in Statistics, Marshall University
Courses Taught: Prep for College Algebra at Marshall University
Selected Presentations:
Stradwick, C. Exploring the Variance of the Sample Variance. Spring Meeting of the
Mathematical Association of America Ohio Section, University of Akron, 2019.
Stradwick, C., Vaughn, L., Hanan Khan, A. Data Modeling on Insurance Beneficiary Dataset.
College of Science Research Expo 2018, Marshall University, 2018. Poster Presentation.
Stradwick, C. Disease modeling on networks. The 13th Annual UNCG Regional Mathematics
and Statistics Conference, University of North Carolina at Greensboro, 2017. Poster
Presentation.
Professional Objectives: To work as a researcher in industry or in a laboratory setting. I would like to use
my background in mathematics and statistics to develop novel solutions that address
limitations in current data science techniques and to apply known data science methods
to solve real-world problems.
Bachelor’s Degree:Pharmacy, Acharya Nagarjuna University, India
Master’s Degree:Computer Science, Kennesaw State University
Work History:
Graduate Research Assistant, Kennesaw State University, 2017-present
Research Analyst, Divis Laboratories, 2013-2014
Selected Publications:
T. Mallavarapu, Y. Kim, J.H. Oh, and M. Kang, "R-PathCluster: Identifying Cancer Subtype of Glioblastoma Multiforme Using Pathway-Based Restricted Boltzmann Machine," Proceedings of IEEE International Conference on Bioinformatics & Biomedicine (IEEE BIBM 2017), International Workshop on Deep Learning in Bioinformatics, Biomedicine, and Healthcare Informatics, Accepted, 2017.
M.R. Shivalingam, K.S.G. Arul Kumaran, D. Jeslin, Ch. MadhusudhanaRao, M. Tejaswini,
"Design and Evaluation of Binding Properties of Cassia roxburghii Seed Galacto mannan
and Moringa oleifera Gum in the Formulation of Paracetamol Tablets," Research Journal
of Pharmacy and Technology(RJPT). 3(1): Jan.-Mar. 2010; Page 254-256.
M.R. Shivalingam, K.S.G. Arul Kumaran, D. Jeslin, Y.V. Kishore Reddy, M. Tejaswini, Ch. MadhusudhanaRao, V. Tejopavan, "Cassia roxburghii Seed Galacto manna— a potential binding agent in the tablet formulation," Journal of Biomedical Science and Research(JBSR), Vol 2 (1), 2010, 18-22
Professional Objective:To be a data scientist in the field of health care or bioinformatics where I can leverage
my analytical skills and knowledge towards the advancement of the research field.
Bachelor’s Degree:Mechanical Engineering, Visveswaraiah Technological University, India
Master’s Degree:Computer Science, Kennesaw State University
Work History:
Graduate Research Assistant, Kennesaw State University, 2016-2018
Senior Software Engineer, Torry Harris Business Solutions (THBS), United Kingdom,
2010-2012 and India, 2012-2014
Software Engineer, Torry Harris Business Solutions (THBS), India, 2007-2010
Selected Publications/Presentations:
S.S. Janney, S. Chakravarty, “New Algorithms for CS – MRI: WTWTS, DWTS, WDWTS”, One-page research paper, 40th International Conference of IEEE Engineering in Medicine and Biology Society (IEEE EMBC), Jul 2018
Master thesis presented at Southeast Symposium on Contemporary Engineering Topics
(SSCET), UAH Engineering Forum, Alabama, Aug 2018
Master thesis poster is accepted to be presented at Biomedical Engineering Society
(BMES) 2018 Annual Meeting, Oct 2018
Submitted draft copy for book chapter contribution on “Bioelectronics and Medical Devices”, Elsevier Publisher, May 2018
Showcased 3MT, Georgia Council of Graduate Schools (GCGS), Apr 2018
Master thesis presented in workshop for “Medical Signal and Image Processing” at Department of Biotechnology & Medical Engineering, NIT Rourkella, Feb 2018
S.S. Janney, I. Karim, J. Yang, C.C Hung, Y. Wang, “Monitoring and Assessing Traffic Safety Using Live Video Images”, GDOT project showcase, 4th Annual Transportation Research Expo, Sept 2016
Service and Awards:
1st Place Winner, Graduate Research Project, C-day Poster Presentation, Kennesaw State
University, Spring 2018
3rd Place Winner, Hackathon 2017 - HPCC Systems Big Data
Foundation of Computer Science, Certified by Kennesaw State University, Jun 2016
Fundamental of RESTful API Design, Certified by APIGEE, Nov 2014
Member of HandsOnAtlanta, since 2014
SOA Associate, Certified by IBM, Jun 2008
Professional Objective:I would like to be a researcher in Data Science and Analytics in medical imaging technologies
contributing to advancements that would help medical and healthcare professionals
provide value-based and personalized health care. I would like to look at career opportunities
in industry and academia that fuel my interest in research.
