{"$schema":"https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json","basics":{"name":"Jeho Park","label":"Leading interdisciplinary collaboration in research computing and education.","image":"https://saywise-production-profilepicturestoragebucket-kbfooccc.s3.amazonaws.com/profile-pictures/d0d8070b-17b6-4d53-a5f0-b91ad13ad072/linkedin-1791222595208.jpg","summary":"With over 18 years of experience, I serve as the Founding Director of the Murty Sunak Quantitative and Computing Lab at Claremont McKenna College, where I lead initiatives to support students and faculty on quantitative challenges, encompassing mathematics, computation, statistics, programming, data analysis, and visualization. Concurrently, I oversee the Data Science Capstone Program, facilitating collaborations with businesses, non-profits, and public agencies to provide students with hands-on experience in data science and analytics. My academic expertise lies in high-performance computing, AI, machine learning, and data science, supported by skills in higher education teaching, data science, and business networking. I am also committed to fostering entrepreneurship and innovation, as demonstrated through my leadership roles within the Korean-American Scientists and Engineers Association (KSEA), where I organize programs that promote collaboration among professionals in the tech and startup ecosystem.","location":{"city":"Claremont, CA, United States"},"profiles":[{"network":"LinkedIn","username":"jehopark","url":"https://linkedin.com/in/jehopark"}]},"meta":{"canonical":"https://saywise.com/member9415","version":"v1.0.0","lastModified":"2026-10-05T17:49:57.033Z"},"x_saywise":{"handle":"member9415","pronouns":null,"availability":null,"oneLiner":"With over 18 years of experience, I serve as the Founding Director of the Murty Sunak Quantitative and Computing Lab at Claremont McKenna College, where I lead initiatives to support students and faculty on quantitative challenges, encompassing mathematics, computation, statistics, programming, data analysis, and visualization. Concurrently, I oversee the Data Science Capstone Program, facilitating collaborations with businesses, non-profits, and public agencies to provide students with hands-on experience in data science and analytics. My academic expertise lies in high-performance computing, AI, machine learning, and data science, supported by skills in higher education teaching, data science, and business networking. I am also committed to fostering entrepreneurship and innovation, as demonstrated through my leadership roles within the Korean-American Scientists and Engineers Association (KSEA), where I organize programs that promote collaboration among professionals in the tech and startup ecosystem.","profileUrl":"https://saywise.com/member9415","markdownUrl":"https://saywise.com/member9415/profile.md","pdfUrl":"https://saywise.com/member9415/resume.pdf","archetype":{"code":"HE-MG","name":"Junction Trailblazer","url":"https://saywise.com/sca/4851a26006df","rarity":"One of the first Junction Trailblazers on Saywise"}},"work":[{"name":"Korean-American Scientists and Engineers Association (KSEA)","position":"Vice President","url":"https://ksea.org","startDate":"2023-07-01","endDate":"2024-06-01"},{"name":"Korean-American Scientists and Engineers Association (KSEA)","position":"Entrepreneurship Director","url":"https://ksea.org","startDate":"2022-07-01","endDate":"2023-06-01","summary":"Organized and led STEP-UP (Science and Technology Entrepreneurship Partners’ Upscale Program) 2023. The event aimed to promote and enrich the entrepreneurship of KSEA members, with a focus on discussing successful innovative companies in arts, entertainment, and technology. More than 130 participants from various sectors of the startup ecosystem attended the program, engaging in networking, invited speaker sessions, startup elevator pitches, and regular pitches to foster collaboration and knowledge sharing among passionate entrepreneurs."},{"name":"Claremont McKenna College","position":"Founding Director of the Murty Sunak Quantitative and Computing Lab","location":"Claremont, California, United States","url":"https://cmc.edu","startDate":"2018-07-01","summary":"The CMC Data Science Capstone program is an opportunity to partner with Claremont McKenna College (CMC) through a structured practicum course in data science. Groups of students under the guidance of faculty advisors will be working with client liaisons on cleaning, querying, analyzing, and modeling data for businesses, non-profit organizations, and public agencies. Participating clients will get much needed data projects off the ground while establishing relationship with the College by assisting in the training of the next generation of employable undergraduates in data science and data analytics."},{"name":"SoDAVi Group","position":"Co-Founder, Director of Data Analysis","location":"Greater Los Angeles Area","startDate":"2018-03-01","endDate":"2019-11-01"},{"name":"Korean-American Scientists and Engineers Association (KSEA)","position":"General Director","location":"Vienna, VA","url":"https://ksea.org","startDate":"2017-07-01","endDate":"2018-06-01","summary":"Worked on establishing a professional mentoring program for Korean-American scientists and engineers in the U.S. Reviewed and helped implementations of numerous projects administered by local chapters and professional affiliated society groups."},{"name":"The Korean Computer Scientists and Engineers Association in America (KOCSEA)","position":"President","startDate":"2017-04-01","endDate":"2019-07-01","summary":"Organized KOCSEA Annual Symposium 2017 held in Las Vegas, NV, KOCSEA 2018 in Silicon Valley, CA and KOCSEA 2019 in Atlanat, GA; 150+ participants attended, 7+ local and international sponsors recruited."},{"name":"Claremont Graduate University","position":"Adjunct Professor","location":"Claremont, CA","url":"https://cgu.edu","startDate":"2016-08-01","endDate":"2016-12-01","summary":"+ Taught Introduction to Parallel and High Performance Computing course for non-CS graduate and undergraduate students at the Claremont Colleges. + Covered traditional and emerging technologies in advanced computing topics using MPI (distributed memory processing), OpenMP (shared memory processing), OpenACC (GPU computing), Hadoop and Spark (distributed computing/Big Data), etc."},{"name":"Harvey Mudd College","position":"Associate Director, Academic and Research Computing Services","location":"Claremont, CA","startDate":"2012-03-01","endDate":"2018-06-01","summary":"+ Developed and led various user training workshops for students and faculty on quantitative analysis, data-driven computing, high-performance computing, and scientific/statistical computing including R, Big Data (Hadoop and Spark), Machine Learning (TensorFlow), Tableau, Matlab, Git/GitHub, parallel processing, and Linux command-line computing. + Provided expert knowledge and guidance on utilizing advanced computing resources for interdisciplinary research projects and grant writings; recently involved in awarding Harvey Mudd data science summer REU site grant from NSF. + Developed and improved teaching materials such as R tutorials, Linux lab exercises, and Git/GitHub activities for regular courses offered by computer science, mathematics, and chemistry department: “Revamping Math 35”, “Teaching Linux and Git for CS70”, “Developing Web and Linux Interface for Computational Chemistry Lab”, etc. + Initiated research computing services in the central IT department; fully established the service and hired two research computing interns in 2017 and 2018. + Trained student interns on providing consultation to faculty and students on their use of scientific and statistical computing tools. + Procured and managed local, regional, and national high-performance computing resources for statistical and data-intensive computing needs at the College. + Provided the computing trends in quantitative analysis tools and methods; provided recommendations on the future requirements and procurement of data management, data analysis, and interdisciplinary research computing resources. + Involved in nationwide cyberinfrastructure facilitators’ activities such as XSEDE Campus Champions, ACI-REF (Advanced Cyberinfrastructure - Research and Education Facilitators), and CLAC-HPC (Consortium of Liberal Arts Colleges - High Performance Computing) group."},{"name":"Claremont Center for the Mathematical Sciences","position":"IT Director/Web Developer","location":"Claremont, CA, USA","startDate":"2007-01-01","endDate":"2015-07-01","summary":"+ Developed and managed the CCMS website (http://ccms.claremont.edu) using Drupal CMS. + Ex-officio member of the Executive Committee."},{"name":"California State University, Long Beach","position":"Research Assistant","location":"Long Beach, CA, USA","url":"https://csulb.edu","startDate":"2005-09-01","endDate":"2016-12-01","summary":"(Note that the duration of employment for this position is not correct due to the way LinkedIn calculate the duration. I was not employed continuously for the period of time. For years and semesters I worked for CSULB are shown in each of the courses) + Taught a Business Application Programming course using Python for the Information Systems Department (2015-2016). + Taught graduate and undergraduate CS courses: Operating Systems (Fall 2009), Parallel Programming (Spring 2009), Net-centric Computing (Spring and Fall 2009), Discrete Mathematics (Fall 2005 and Spring 2006). + Developed a new teaching plans and materials of Net-centric Computing course for undergraduate students. + Involved in course assessment test development for Discrete Mathematics course for Computer Science students."},{"name":"Claremont Graduate University","position":"Computing Coordinator/Consultant","url":"https://cgu.edu","startDate":"2001-09-01","endDate":"2009-01-01","summary":"Installed, administered, and managed Linux computers and software packages for math computing lab. Directed faculty and students in their academic computing for programming languages (C/C++, Java, FORTRAN, script languages), mathematical software tools (Matlab, Mathematica, SPSS, R), scientific computing tools (COMSOL, GAMS, and ARENA). Built an academic portal website with an open-source CMS (Drupal) for CCMS (Claremont Center for the Mathematical Sciences - http://ccms.claremont.edu) using PHP, MySQL, and Java. Managed the school's web site (http://www.cgu.edu/math) and the CCMS website."}],"education":[{"institution":"Claremont Graduate University","studyType":"Ph.D in Applied Mathematics/Computer Science, Parallel Computing, HPC, Statistical Modeling","startDate":"2000-01-01","endDate":"2008-01-01"},{"institution":"California State University, Long Beach","studyType":"Master of Science (MS) in Computer Science, Parallel Computing, High Performance Computing","startDate":"1997-01-01","endDate":"1999-01-01"}],"skills":[{"name":"Research Computing"},{"name":"Interdisciplinary Collaboration"},{"name":"Higher Education Teaching"},{"name":"Data Science"},{"name":"Business Networking"},{"name":"Business Development"},{"name":"Small Business"},{"name":"Business Consulting"},{"name":"Start-up Consulting"},{"name":"Startup Development"},{"name":"Early-stage Startups"},{"name":"Launching Start-ups"},{"name":"Technology Start-up"},{"name":"Start-up Organizations"},{"name":"Matlab"},{"name":"Mathematica"},{"name":"Applied Mathematics"},{"name":"LaTeX"},{"name":"R"},{"name":"C++"},{"name":"Java"},{"name":"Computer Science"},{"name":"C"},{"name":"Teaching"},{"name":"Programming"},{"name":"Higher Education"},{"name":"Numerical Analysis"},{"name":"Mathematical Modeling"},{"name":"Parallel Computing"},{"name":"HTML"},{"name":"Mac OS X"},{"name":"Statistics"},{"name":"JavaScript"},{"name":"High Performance Computing"},{"name":"Linux"},{"name":"Scientific Computing"},{"name":"Algorithms"},{"name":"Machine Learning"},{"name":"Python"},{"name":"Parallel Programming"},{"name":"Simulations"},{"name":"Research"},{"name":"Data Analysis"},{"name":"Python (Programming Language)"}],"certificates":[{"name":"EDUCAUSE Presenter","date":"2014-02-01","issuer":"EDUCAUSE"}],"publications":[{"name":"5 Things You Should Know About Digital Badges (Poster)","summary":"Student learning happens everywhere, not just inside the classroom. How can we ensure that students actually learn from extracurricular activities? Digital badges are one solution to this dilemma. To demonstrate digital badges as a means of assessment and microcredentialing tool, we ran a digital badge pilot for our scientific computing workshops. Student feedback and participant data collected throughout the pilot program showed promising results. We will share the practical aspects of preparing and running a digital badge program and propose five things you should know about digital badges for assessing student learning outside the classroom."},{"name":"Providing the Missing Piece for Advanced and High-Performance Computing at Liberal Arts Colleges (Poster)","summary":"Almost all disciplines taught and researched at liberal arts colleges use computer tools and digital data that are neither simpler nor smaller than those used in large universities. However, it is often difficult to find readily available advanced computing resources at liberal arts colleges due to various reasons. For the last two years, the IT department at Harvey Mudd has worked to identify high-performance computing resources outside the college. In this poster, we will introduce the resources that liberal arts colleges can obtain and maintain without spending a large amount of money to provide advanced computing for teaching and research."},{"name":"A Comparative Performance Study for Compute Node Sharing","summary":"We introduce a methodology for the study of the application-level performance of time-sharing parallel jobs on a set of compute nodes in high performance clusters and report our findings. We assume that parallel jobs arriving at a cluster need to share a set of nodes with the jobs of other users, in that they must compete for processor time in a time-sharing manner and other limited resources such as memory and I/O in a space-sharing manner. Under the assumption, we developed a methodology to simulate job arrivals to a set of compute nodes, and gather and process performance data to calculate the percentage slowdown of parallel jobs. Our goal through this study is to identify a better combination of jobs that minimize performance degradations due to resource sharing and contention. Through our experiments, we found a couple of interesting behaviors for overlapped parallel jobs, which may be used to suggest alternative job allocation schemes aiming to reduce slowdowns that will inevitably result due to resource sharing on a high performance computing cluster. We suggest three job allocation strategies based on our empirical results and propose further studies of the results using a supercomputing facility at the San Diego Supercomputing Center."},{"name":"A Bite of Learning: A Presentation Series That Fosters Innovation in Teaching and Research (Presentation)","summary":"A Bite of Learning is a series of presentations organized by the Harvey Mudd College Department of Computing and Information Services in collaboration with our central library. The purpose of the series is to present topics on the use of technology in teaching and learning in an informal setting. The presentations are scheduled at lunch time in the Harvey Mudd College dining hall, and faculty, staff, and students are all invited. The spring 2012 semester is the fifth semester of the series, and it is already having a significant impact on community awareness of innovative uses of technology."},{"name":"An empirical approach to communication and performance modeling for message passing parallel applications on cluster systems"},{"name":"Self-similarity in Message Passing Parallel Processing Communication","summary":"Communication performance analysis of message passing parallel programs relies on accurate modeling of cluster network traffic patterns. To this end the authors have developed a tool for collecting traffic samples by simulating parallel processing environment with statistically tractable network traffic. their results from experiments show network packet traffic generated by message-passing parallel programs in a Beowulf cluster setting exhibits strong self-similarity, which was tested using Hurst parameters. As most known Hurst parameter estimators are heuristics, the authors propose a novel approach for statistical inference via parametric bootstrapping, and show confidence intervals of the estimated parameters."},{"name":"An accurate monitoring of truck waiting and flow times at a terminal in the los angeles/long beach ports"}]}