Wij zijn onze website aan het vernieuwen.

Ontdekt u nog een pagina die niet klopt of hebt u een goede suggestie, laat het ons dan weten via webmedia@umcutrecht.nl.

Deze website maakt gebruik van cookies

Deze website toont video’s van o.a. YouTube. Dergelijke partijen plaatsen cookies (third party cookies). Als u deze cookies niet wilt kunt u dat hier aangeven. Lees meer over het cookiebeleid.

dr. H.W. Uh Associate Professor

  • Department of Biostatistics and Research Support
  • Julius Center Research Program Methodology

H.W. Uh

Contact

Biography

After years of being a concert pianist, Hae-Won Uh studied math as a hobby. She obtained MSc and PhD in Mathematical Statistics from University of Amsterdam. She has been working as a researcher in the multidisciplinary environment, specializing in Statistical Modeling and Data Science. She has been involved in various EU-funded projects: MIMOmics, BigData@Heart, IMforFUTURE, and MSA-Omics.

Her research focuses on the analysis of high-dimensional biological and medical data: specifically, statistical leaning with sparsity. In the era of big data, extracting hidden patterns from noisy heterogeneous data is essential but challenging. She develops methods for integrated analysis of various omics datasets (e.g. genetics, transcriptomics, metabolomics) to obtain more insight into biological mechanisms underlying traits. Such extracted patient-specific molecular profiles from multiple omics datasets will lead to better predictions of health outcomes.

Compositional data describe amounts of components of specimens, when the size of each specimen is constant; relative portions sum up to 100%. Because of this constraint of constant sum, direct applications of multivariate statistical methods may result in spurious conclusions. She develops statistical methods specifically for microbiome study: in particular, longitudinal models to fit the dynamic association among microbiome, environments and host.

A smartphone with a camera can detect heart rhythms, without medical assistance or additional instruments. She investigates the usage of  smartphone apps to acquires pulse waveforms via photoplethysmography (PPG). PPG is  related to cardiac-induced fluctuations in tissue blood volume using the built-in cameras and LED smartphone flash. She develops an algorithm to reconstruct the sharp spikes of a true ECG from a PPG record. This will lead to an efficient model that well discriminates an irregular pulse during AF from sinus rhythm.

Research Output (23)

Roux-Y Gastric Bypass and Sleeve Gastrectomy directly change gut microbiota composition independent of surgery type

Paganelli Fernanda L, Luyer Misha, Hazelbag C Marijn, Uh Hae-Won, Rogers Malbert R C, Adriaans Danielle, Berbers Roos-Marijn, Hendrickx Antoni P A, Viveen Marco C, Groot James A, Bonten Marc J M, Fluit Ad C, Willems Rob J L, Leavis Helen L 29 jul 2019, In: Scientific Reports. 9

The mixed model for the analysis of a repeated-measurement multivariate count data

Martin Ivonne, Uh Hae-Won, Supali Taniawati, Mitreva Makedonka, Houwing-Duistermaat Jeanine J. 30 mei 2019, In: Statistics in Medicine. 38 , p. 2248-2268 21 p.

Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting

Chauhan Ganesh, Adams Hieab H H, Satizabal Claudia L, Bis Joshua C, Teumer Alexander, Sargurupremraj Muralidharan, Hofer Edith, Trompet Stella, Hilal Saima, Smith Albert Vernon, Jian Xueqiu, Malik Rainer, Traylor Matthew, Pulit Sara L, Amouyel Philippe, Mazoyer Bernard, Zhu Yi-Cheng, Kaffashian Sara, Schilling Sabrina, Beecham Gary W, Montine Thomas J, Schellenberg Gerard D, Kjartansson Olafur, Guðnason Vilmundur, Knopman David S, Griswold Michael E, Windham B Gwen, Gottesman Rebecca F, Mosley Thomas H, Schmidt Reinhold, Saba Yasaman, Schmidt Helena, Takeuchi Fumihiko, Yamaguchi Shuhei, Nabika Toru, Kato Norihiro, Rajan Kumar B, Aggarwal Neelum T, De Jager Philip L, Evans Denis A, Psaty Bruce M, Rotter Jerome I, Rice Kenneth, Lopez Oscar L, Liao Jiemin, Uh Hae-Won, Geerlings Mirjam I, van der Graaf Yolanda, de Bakker Paul I W, Asselbergs Folkert W, 16 jan 2019, In: Neurology. 92 , p. E486-E503

Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders

Ligthart Symen, Vaez Ahmad, Võsa Urmo, Stathopoulou Maria G, de Vries Paul S, Prins Bram P, Van der Most Peter J, Tanaka Toshiko, Naderi Elnaz, Rose Lynda M, Wu Ying, Karlsson Robert, Barbalic Maja, Lin Honghuang, Pool René, Zhu Gu, Macé Aurélien, Sidore Carlo, Trompet Stella, Mangino Massimo, Sabater-Lleal Maria, Kemp John P, Abbasi Ali, Kacprowski Tim, Verweij Niek, Smith Albert V, Huang Tao, Marzi Carola, Feitosa Mary F, Lohman Kurt K, Kleber Marcus E, Milaneschi Yuri, Mueller Christian, Huq Mahmudul, Vlachopoulou Efthymia, Lyytikäinen Leo-Pekka, Oldmeadow Christopher, Deelen Joris, Perola Markus, Zhao Jing Hua, Feenstra Bjarke, Amini Marzyeh, Lahti Jari, Schraut Katharina E, Fornage Myriam, Suktitipat Bhoom, Chen Wei-Min, Li Xiaohui, Uh Hae-Won, Alizadeh Behrooz Z, 1 nov 2018, In: American Journal of Human Genetics. 103 , p. 691-706 16 p.

Facial Wrinkles in Europeans:A Genome-Wide Association Study

Hamer Merel A., Pardo Luba M., Jacobs Leonie C., Deelen Joris, Uitterlinden André G., Slagboom Eline, van Heemst Diana, Uh Hae Won, Beekman Marian, Kayser Manfred, Liu Fan, Gunn David A., Nijsten Tamar 1 aug 2018, In: Journal of Investigative Dermatology. 138 , p. 1877-1880 4 p.

Subclass-specific IgG glycosylation is associated with markers of inflammation and metabolic health

Plomp Rosina, Ruhaak L. Renee, Uh Hae Won, Reiding Karli R., Selman Maurice, Houwing-Duistermaat Jeanine J., Slagboom P. Eline, Beekman Marian, Wuhrer Manfred 1 dec 2017, In: Scientific Reports. 7

Estimation of metabolite networks with regard to a specific covariable:applications to plant and human data

Bartzis Georgios, Deelen Joris, Maia Julio, Ligterink Wilco, Hilhorst Henk W.M., Houwing-Duistermaat Jeanine J., van Eeuwijk Fred, Uh Hae Won 1 nov 2017, In: Metabolomics. 13

Classification for longevity potential:The use of novel biomarkers

Beekman Marian, van Heemst Diana, Uh Hae-Won, Wuhrer Manfred, Ruhaak L. Renee, Gonzalez-Covarrubias Vanessa, Hankemeier Thomas, Slagboom P. Eline 28 okt 2016, In: Frontiers in Public Health. 4

Gene coexpression network analysis for family studies based on a meta-analytic approach

Tissier Renaud, Uh HW, Van Den Akker Erik, Balliu Brunilda, Tsonaka Spyridoula 1 jan 2016, In: BMC Proceedings. 10

A genome-wide association study identifies the skin color genes IRF4, MC1R, ASIP, and BNC2 influencing facial pigmented spots

Jacobs Leonie C., Hamer Merel A., Gunn David A., Deelen Joris, Lall Jaspal S., Van Heemst Diana, Uh HW, Hofman Albert, Uitterlinden André G., Griffiths Christopher E.M., Beekman Marian, Slagboom P. Eline, Kayser Manfred, Liu Fan, Nijsten Tamar 18 jul 2015, In: Journal of Investigative Dermatology. 135 , p. 1735-1742 8 p.

All Research Output (23)
To top