RESUME
Education
Indiana University, Indianapolis, INPh.D., Human-Computer Interaction, School of Informatics and Computing, May 2015
Overall GPA: 3.95 / 4.00
M.S., Information Technology in eBusiness, School of Computer Science, August 2006
Overall GPA 3.57 / 4.00
* Scholarship: Ministry of Commerce, Industry and Energy of Korea
B.S., Computer Science, February 2004
Overall GPA: 3.74 / 4.3
Experience
Data Visualization Engineer, Medidata Solutions, New York, NY
- Design and develop interactive applications which aid data scientists to effectively complete their tasks (such as annotating unlabelled data or mapping unlabelled terms with standardized terms) by creating various interactive visualization components
- Collaborate closely with application users and engineers from cross-functional teams to develop new features, to improve the existing features, to integrate seamlessly with the other components, and to resolve unexpected issues.
Volunteering Software Engineer, KKottongnae, Orange, NJ
- Volunteer for the development of the cost-effective inventory management solution (web and mobile apps) for the Kkottongnae Catholic non-profit organization using Raspberry Pi, React / Redux / React Native, NodeJS, ExpressJS, and MySQL
Data Scientist Fellow, NYC Data Science Academy, New York, NY
- Implemented the interactive cluster and sentiment analyses of web-scrapped job data from indeed.com and dice.com using Python, R and Shiny Dashboard. (My blog post and interactive app).
- Implemented interactive data scientist salary comparator against other eight professions in the US using R and Shiny Dashboard (based on 167,278 prevailing wage data from US Department of Labor), (My blog post and interactive app).
- Identified the hidden and interesting relationships between the number of followers at Yelp and average rating frequency as well as average rating scores. Also, I implemented an interactive application which provides restaurants information in users' areas of interests using R pagckages. Through multifaceted interactive components such as data explorers, scatter plots, and comparison maps, users of applications can get broad and deeper understanding of various aspects of the data sets, (My blog post and interactive app).
- Participated in the competition to predict category of user claims based on
features available from a large data (30~40% missing and anonymized) in the early process using supervised learning methods.
- Currently collaborate with clients from the DataSci4Good for the W!se project designed for young people to develop financial literacy. Our team currently tries to implement improved visualization and embed components of recommendation system and statistical analysis to the existing Shiny dashboard application for efficient learning experience.
Research Assistant, School of Informatics and Computing, Indiana University, Indianapolis, IN
- Develop a mobile infoVis tool for sustainable motivation in a context of running.
- Developed a decision support tool providing shared decision space information visualization of large and complex patient data sets for intelligence analysts, health care professionals and patients.
- Funded by MITRE research corporation (www.mitre.org)
- Project number: 51MSR605-BA and 51MSR603-AA
- Developed a prototypical mobile application to provide users increased mobile user experience with a strategy of linkless navigation.
- Funded by NSF (National Science Foundation, www.nsf.gov)
- Developed an information visualization tool showing local health-related Twitter trends to aid daily jobs of health-related experts.
- Developed a prototypical decision making simulator to aid first emergency responder providing visualization of multiple decision options.
- Funded by MITRE research corporation (www.mitre.org).
- Project number: 43MSR001-EA, 45MSR026-FA
- Developed an interactive prototype combining concepts of local deal and group deal.
Research and Teaching Assistant, Carnegie Mellon, ISRI, Pittsburgh, PA
- Led the “Robots to the Rescue” class and offered a guidance of introduction to robotics and programming to undergrad.
- Developed an interactive simulator with Microsoft Robotics Studio to communicate between four-wheeled robots and simulators
* You can read more details of my experience in the pdf file.
SKILLS
ProgrammingJavascript (React/Redux/ReactNative), HTML/CSS, NodeJS, ExpressJS, MySQL, PostgresSQL, Python (scikit-learn, numpy, scipy, pandas, matplotlib, seaborn, etc.), R (data manipulation & visualization: Shiny, ggplot, dplyr, knitr, caret, rpart, etc.), Java (SCJP; Sun Certified Java Programmer), GitHub, Amazon AWS (Lambda, API Gateway, EC2, S3), Adobe Flex web / mobile programming (Actionscript), Chart & Map SDKs
Statistics and Machine LearningLinear and Logistic regression, Generalized linear models, Feature selection & engineering, K-Nearest Neighbors, Principal Component Analysis (PCA), Lasso & Ridge Regression, K-menas clustering, Hierarchical clustering, Classification and Regression trees, Decision trees, Random forests, Support vector machines, Associations Rule, Naïve Bayes, Gradient Boosting Machines (GBM), XGBoost, Neural Networks, Time series models
Design MethodUser-centered design, participatory design, ideation, affinity diagramming, scenarios, personas, information architecture, experience prototyping, technology probes.
User ResearchEthnography, contextual inquiry, focus group, experience sampling method, usability testing, heuristic analysis, GOMS, cognitive walkthrough, wizard of OZ, survey design & data analysis.
PrototypingSketching, low/mid/high fidelity prototyping, paper prototyping, experience prototyping, Flash, Photoshop, Balsamiq, Fluid UI
SoftwareAdobe Flash, Photoshop, Premier, Dreamweaver, MS Office, Visio
Operating System / DatabaseWindow-based OS, UNIX, Linux
* You can read more information about the patent, volunteering, and activity experience in the pdf file.
CURRICULUM VITAE
RESEARCH INTEREST
My research lies in Human-Computer Interaction (HCI), with primary interests in human behavior (e.g., motivation, behavior change and decision-making), usability and user experience, and interactive system design in conjunction with information visualization and persuasive elements. In particular, my current research interest focuses on creating useful and effective information visualization applications (both web and mobile)
- To provide users of the application more engaged and sustainable motivation to change their health behaviors
- To provide decision-ready visualized options for decision makers (including emergency responders, healthcare professional and patients) for more accurate and confident decision by reducing their cognitive burden in dynamic and uncertain situations and by interactively visualizing cause and effect relationships
- To help aware of local health-related trends by showing meaningful and analytical visualized information extracted from social media data (e.g., Twitter, and Facebook)
Publication
Moon, S. P. (2015). Hamkerun: Mobile infoVis app towards sustainable motivation in a context of running (Doctoral dissertation, Indiana University).
Moon, S. P., Liu, Y., Entezari, S., Pirzadeh, A., Pappas, A., & Pfaff, S. M. (accepted, to be published in May, 2013). Top Health Trends: An information visualization tool for awareness of local health trends. 10th International Conference on Information Systems for Crisis Response and Management (ISCRAM' 13). Baden-Baden, Germany, May 12-15.
Pfaff, M. S., Klein, G. L., Drury, J. L., Moon, S. P., Liu, Y., & Entezari, S. O. (2012). Supporting complex decision making through option awareness. Journal of Cognitive Engineering and Decision Making, Advance online publication. doi: 10.1177/1555343412455799
Liu, Y., Moon, S. P., Pfaff, M. S., Drury, J. L., & Klein, G. L. (2011). Collaborative option awareness for emergency response decision making. 8th Annual International Conference on Information Systems for Crisis Response and Management (ISCRAM), Lisbon, Portugal, May 2011.
Pfaff, M. S., Drury, J. L., Klein, G. L., More, L. D., Moon, S. P., & Liu, Y. (2010). Weighing decisions: Aiding emergency response decision making via option awareness. Proceedings of the 2010 IEEE International Conference on Technologies for Homeland Security (HST), 251-257.
Poster
Moon, S. P., Liu, Y., and Powit, R. (2013, April). MARVAND: Mobile application for relief volunteering activity after natural disaster. Poster presented at the IUPUI Research Day 2013, Indianapolis, IN.
Bolchini, D., Rohani Ghahari, R., George-Palilonis, J., Moon, S.P., Archibald, C., & Kaser, L. (2012, November). Eyes-free web browsing with linkless navigation. IUPUI Innovation to Enterprise Showcase & Forum, IUPUI Campus Center, Indianapolis (IN), November 28, 2012.
Pfaff, M.S., Liu, Y., Moon, S. P., Entezari, S. O (2012, May). Effects of human-computer trust on collaborative decision making in a simulated emergency response. Poster presented at the 24th Annual Convention of the Association for Psychological Science, Chicago, IL.
Pfaff, M.S., Moon, S. P., & Liu, Y. (2010, April). The GRaPPa lab: Supporting team decision making in complex environments. Poster presented at the IUPUI Research Day, Indianapolis, IN.
Luther, J., Moon, S. P., Davide, D., & Faiola, A. (2009, November). Advancing paper-in-screen prototyping: Evaluating and interacting with digital sketched designs. Presented at 2009 Indiana World Usability Day, Indianapolis, IN.
HONORS & AWARDS
Graduate Research Assistantship, Indiana University, Indianapolis
Scholarship for Talented Alumni Student from Soongsil University, Seoul, Korea
Scholarship for Talented Student, Ministry of Commerce, Industry and Energy of Korea