Machine Learning Research Associate

RESUME

YONGWOON JUNG

***** ********** ** **** *, 571-***-****

Reston, VA, 20191 ********@*****.***

1. Big Achievements in Research Activities

Operation of Back Propagation Neural Network System for Finding Similar Properties (1997-1998) Pattern Recognition of Military Road Images Using LANSAT TM (1997-1998) Developments of C and Visual Basic Programming Tools for Classifying Pattern Classification of Amino Acids Properties (2001-2005)

Mathematical Interpretation of Potassium Ion Conductance Using Nonlinear Dynamics (2006-2010) MAPLE Programming and Algorithm Building on the Cell Cycle Division Progression (2010-2012) MATLAB Programming for the setup of the Parameter Ranges fitted for the Cell Cycle Physical Data Using the Basic Concept of Machine Learning (2016-2019)

Construction of Heat map Visualizing the Different Medical Properties Between Normal and Abnormal Cancer Cells Based on the Cancer Dependency Map Database (2016-2019) PRCC and Fuzzy analysis on the Sensitivity Analysis Results Assessing the dependence of model components on parameters and analyzing the dependence of model variables on parameter variations

(2016-2019).

2. Research Institutions I have worked for

Advanced Institute of Military Science and Technology on Korea Military Academy (1997-2000) Texas A & M System University (2010-2012s)

Korea Research Institute of Bioscience and Biotechnology (2012-2013) Medical College of Wisconsin (2016-2019)

3. Technical Vision

As I have gone through various areas SUCH AS Mathematical and Computational Modeling, Optimized Classification of Similar Properties and Patterns Using Neural Networks, and Construction of Database, I would like to have the chances to develop the Algorithms and Programs of more advanced natural and social research works including the Measurement of Human Performance and the Integration of Human Medical Information.

4. Technical Experience (Total 20 years)

Molecular Dynamics Simulation using Charm

3-D Sensitivity Analysis Using Many Different Components and Corresponding Parameters. Pattern Classification Using the Combination Machine Learning Implementation Using Neural Networks and Principal Component Analysis.

Constructing the Network Systems of Many Ordinary Differential Equations with Many Different Parameters for Extracting their Functional Characteristics. EDUCATION

2010 Florida State University

Ph.D., Mathematics, Area of Specialization: Mathematical Modeling in Systems Biology 2005 Florida State University

M.S., Mathematics, Area of Specialization: Mathematical Modeling in Systems Biology 2003 Western Kentucky University

M.S., Bioinformatics and Molecular Biology, Area of Specialization: Mathematical Modeling in Systems Biology

1998 Advanced Institute of Military Science and Technology, Korea Military Academy M.S., Operating Systems, Pattern Recognition, and Neural Networks 1990 Seoul National University

B.S., Food Science and Engineering

Research Experience

2016 – 2019 Post-Doctoral Research Associate, Medical College of Wisconsin, Construction of mathematical and computational modeling of finding the physical ranges of the parameters simulating the Ordinary Deferential Equation Systems reasonably using MATLAB. 2014 Post-Doctoral Research Associate, Korea National Academy of Agricultural Science, The assessment of biosafety on genetically modified organisms (GMO). 2012 – 2013 Post-Doctoral Research Associate, Korea Research Institute of Bioscience and Biotechnology, The Construction of protein structural variation database system. 2010 – 2012 Post-Doctoral Research Associate, Texas A and M University, Developing the algorithm of cell cycle division progression and programming the division network using MAPLE 2003 – 2010 PhD Graduate Student, Florida State University, A Computational Study of Ion Conductance in the KcsA K+ Channel Using A Nernst-Planck Model With Explicit Resident Ions. 2001 - 2003 MS Graduate Student, Western Kentucky University, Investigations on Computational Methodologies for finding the functional sites of p53 protein using Neural Network. 1996 - 1998 MS Research Assistant, Advanced Institute of Military Science and Technology, Korea Military Academy, Extraction of Military roads from LANSAT TM images. Publications

Yongwoon Jung and Dooil Kim, (1997) "The Semi-Automatic Extraction of Road Image from TM-5 Satellite Image using Back Propagation Neural Network", The Korea Institute of Military Science and Technology.

Yongwoon Jung, Benzhou Lu, Michael Mascagni, (2009) "A Computational Study of Ion Conductance in the KcsA K+ Channel Using A Nernst-Planck Model With Explicit Resident Ions", J. Chem. Phys. 131(21), 215101.

Yongwoon Jung and Michael Mascagni, (2014) "Constriction Model of Actomyosin Ring for Cytokinesis by Fission Yeast using a Two-state Sliding Filament Mechanism", J. Chem. Phys. 142(12), 215101 (2014). Yongwoon Jung (et al.), (2015) "Biosafety evaluation and documentation of Event Iksan526 for metabolic syndrome-related disease prevention", Reports on GMO safety assessment (PJ00952), Rural Development Administration, Korea.

Scott S. Terhune and Yongwoon Jung, Katie M. Cataldo, Ranjan K. Dash, (2020), "Network Mechanisms and dysfunction within an integrated computational model of progression through mitosis in the human cell cycle, PLoS Comput Biol 16(4), e1007733 (2020). Yongwoon Jung and Sangyong Nam, (2021) "A computational study for identifying agronomically important biomarkers using nsSNP data of Korean soybeans", Preprint. Jung, Y., Kraikivski, P., Shafiekhani, S. et al. (2021) "Crosstalk between Plk1, p53, cell cycle, and G2/M DNA damage checkpoint regulation in cancer: computational modeling and analysis", NPJ Systems Biology and Applications.

Yongwoon Jung (2021) "Cracking the Secret Code of the Selectivity Ratio between K+ and Na+ Ions in the KcsA K+ channel", Preprint.

Journal Reviews

IEEE Engineering in Medicine and Biology Society

PLOS Computational Biology

F1000Research

Presentations

Dept. of Mathematics, Kwangwoon University, Korea. Nov 2012. Talk [The future of biomathematics and bioinformatics in Korea].

College of Veterinary Medicine. Chungbuk National University, Korea. Jan 2013. Talk [Mathematical modeling of cancer biology].

National Institute for Supporting Women in Science and Technology, Ewha Womans University, Korea. Jan 2010. Talk [The biomathematics of KcsA channel conductance]. Center for Applied Analysis and Scientific Computations, Ajou University, Korea. Feb 2010. Talk

[The biomathematics of KcsA channel conductance].

National Institute for Supporting Women in Science and Technology, Ewha Womans University, Korea. Jan 2010. Talk [The biomathematics of KcsA channel conductance]. Center for Applied Analysis Biomedical Engineering Center, Kyung Hee University, Korea. July 2010. Talk

[The biomathematics of KcsA channel conductance].

School of Biological Science, Seoul National University, Korea. Mar 2014. Talk [Identifying agronomically important biomarkers using nsSNP data of Korean soybeans]. Korean Society of Mathematical Education 2015 conference, Seoul City, a post presentation. [The Conductance Mechanism of Potassium ion in the KCSA Potassium Channel]. BMES 2018 conference, Atlanta City, a poster presentation. [Network Mechanisms within an Integrated Computational Model of Human Mitotic Cell Cycle].

Teaching Experience

Teaching Assistant, Florida State University (2003-2009) Instructor, Molecular/Population Biology, Sangmyoung University (Sep 2012- Dec 2012) Mathematics and Science (Physics/Chemistry/Biology/Geoscience) Instructor, Paul Mathematics International School (Private Boarding School), Korea (Feb 2015- Feb 2016) Adjunct Assistant Professor at the Dept. of Mathematics, Santa Fe College (Jan - May 2020) Upper Division Mathematics Teacher, Bayshore Christian School, Tampa, FL (Aug 2020 - May 2021) Substitute Mathematics Teacher, Foxcroft Girls High School, Middleburg, VA (Mar 2023 - May 2023) Subject Expert Teacher, Basis Independent McLean, Mclean, VA (Aug 2023 – Oct 2023) Adjunct Statistics Professor, Washington University of Virginia, VA (Aug 2024 – current) Employment

Korea Intelligence Agency, Imagery Interpreter, Seoul, South Korea (1993 - 2000) Computer Skills

Programming Skills: MATLAB

Software Skills: XPPAUT, ARC-INFO, APBS, DELPHI, and CHARMM. Statistical package: SYSTAT(Multivariate Statistics) Honors and awards

Travel and Local Grants, Defense Mapping School (Terrain analysis), Fort Belvoir, U.S.A, June 1995 - September 1995

Travel and Local Grants, International Institute for Geo-Information Science and Earth Observation

(Digital Image Processing), Netherland, Aug 1998 - Dec 1998 Local Grants, Center for Theoretical Biological Physics (CTBP) summer school, August 8 2008 - August 15 2008

NSF funding, the third Cold Spring Harbor meeting on Computational Cell Biology, March 29 2011 - April 1 2011

Travel and Local Grants, Plant Molecular Breeding Center Workshop (Next-Generation BioGreen21), Jeju City, July 3 2014 - July 4 2014

$750 Travel awards for excellent postdoctoral research associate, Postdoctoral Office at Medical College of Wisconsin, 2018.

Memberships/affiliations

American Mathematical Society, 2003

American Biological Science Society, 2004

Pi Mu Epsilon, 2004

Advancing Science Serving Society, 2005

Statement of research interest

PhD research: Using the classic Poisson Nernst-Planck theory and the finite property of K+ ion flowing through the KcsA K+ Channel, I invented new computational method measuring the channel's current. The ideas are based on the hybrid model of combining the atomistic and continuum properties using the superposition principle. The project was published in the Journal of Chemical Physics. Post-doctoral research I: My post-doctoral research at Texas AM University involved to build a biochemical model of actomyosin ring dynamics in animal cells. I built a model on the mechanisms of ring positioning, formation, and contraction in the fission yeast. The project was published in the Journal of Chemical Physics.

Post-doctoral research II: My post-doctoral research at Korea Research Institute of Bioscience and Biotechnology involved to select biomarkers related on the structural variation induced by soybean nsSNPs and genetically modified mouse nsSNPs.

Post-doctoral research III: My post-doctoral research at Korea National Academy of Agricultural Science involved to assess the biosafety on resveratrol enriched. Post-doctoral research IV: My post-doctoral research at Medical College of Wisconsin involved to build computational models of mitochondria, cell cycle, and sleep disorder. In cell cycle research, I developed and parameterized a novel human cell cycle model including the viral and cancer target proteins: CDK1, CCNB1, Lamin A, PLK1, WEE1, CDC25C, APC/C, CDC20, CDH1, PTTG1, PP2A, and CDKN1A. Two project papers were accepted in the Journals of PLOS Computational Biology and NPJ Systems Biology and Applications, respectively.

References

Dr. Nick Cogan - Professor, Dept. of mathematics, The Florida State University

(email: *****@****.***.***, phone: 850- 644-2202)

Dr. Fred Huffer - Professor, Dept. of statistics, The Florida State University

(email: ******@****.***.***, phone: 850-***-****)

Dr. Guilherme Garcia - Professor, Dept. of Biomedical Engineering, Medical College of Wisconsin

(email: *******@***.***, phone: 414-***-****)

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