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Tzung-Chien Hsieh

  tzung

Research interest

I am currently a postdoctoral researcher at Institute for Genomic Statistics and Bioinformatics and under supervision of Prof. Peter Krawitz. 

I am interested in developing computational approaches to analyze problem in human genetics and currently working on project "Prioritization of Exome Data by Image Analysis" and "Deep Phenotyping for Deep Learning". My research falls in machine learning, bioinformatics and genetics. 

Contact

  • Email:  [Email protection active, please enable JavaScript.]
  • Phone: +49 228 287 13533

External links

Scientific Life

since   2022  Postdoctoral researcher at the Institute for Genomic Statistics and Bioinformatics, University Bonn, Germany
 
2017 - 2022  Doctoral student at the Institute for Genomic Statistics and Bioinformatics, University Bonn, Germany
 
2016 - 2017  Research Assistant at High-Throughput Genomics and Systems Biology group and Algorithms for Computational 
                     Genomics group at Max Planck Institute for Informatik, and enrolled in Saarbrücken Graduate School of Computer
                     Science
 
2013 - 2015  Software engineer at Garmin Corporation, Taiwan
 
2011 - 2013  Master of Computer Science at National Taiwan University, Taiwan
 
2007 - 2011  Bachelor of Computer Science at National Taiwan University, Taiwan
 

Publication

  • Alexander Hustinx, Fabio Hellmann, Ömer Sümer, Behnam Javanmardi, Elisabeth André, Peter Krawitz, Tzung-Chien Hsieh. 2023. “Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles.” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), January 2023

  • Lily Guo, Jiyeon Park, Edward Yi, Elaine Marchi, Tzung‐Chien Hsieh, et al. 2022. “KBG syndrome: videoconferencing and use of artificial intelligence driven facial phenotyping in 25 new patients.” European Journal of Human Geneticcs, November 2022

  • Fabian Brand, Aswinkumar Vijayananth, Tzung‐Chien Hsieh, et al. 2022. “Next‐generation phenotyping contributing to the identification of a 4.7 kb deletion in KANSL1 causing Koolen‐de Vries syndrome.” Human Mutation, November 2022

  • Ömer Sümer, Fabio Hellmann, Alexander Hustinx, Tzung-Chien Hsieh, Elisabeth André, Peter Krawitz. 2022. “Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders.” arXiv October 2022

  • Asif, Maria, Emrah Kaygusuz, Marwan Shinawi, Anna Nickelsen, Tzung-Chien Hsieh, Prerana Wagle, Birgit Budde, et al. 2022. “De Novo Variants of CSNK2B Cause a New Intellectual Disability-Craniodigital Syndrome by Disrupting the Canonical Wnt Signaling Pathway.” Human Genetics and Genomics Advances, April 2022

  • Tzung-Chien Hsieh and Aviram Bar-Haim, et al. "GestaltMatcher facilitates rare disease matching using facial phenotype descriptors." Nature Genetics,  February 2022

  • Tzung-Chien Hsieh, Martin Atta Mensah, Jean Tori Pantel, PEDIA consortium, Peter Krawitz. "PEDIA: Prioritization of Exome Data by Image Analysis." Genetics in Medicine, June 5, 2019, https://www.nature.com/articles/s41436-019-0566-2
  • Felix Marbach, Cecilie F. Rustad, Angelika Riess, Dejan Dukic, Tzung-Chien Hsieh, Itamar Jobani, Trine Prescott, Andrea Bevot, Florian Erger, Gunnar Houge, Maria Redfors, Janine Altmueller, Tomasz Stokowy, Christian Gilissen, Christian Kubisch, Emanuela Scarano, Laura Mazzanti, Torunn Fiskerstrand, Peter M. Krawitz, Davor Lessel, and Christian Netze. "The Discovery of a LEMD2-Associated Nuclear Envelopathy with Early Progeroid Appearance Suggests Advanced Applications for AI-Driven Facial Phenotyping" The American Journal of Human Genetics 104, 1–9, April 4, 2019
  • Jean T Pantel, Max Zhao, Martin A Mensah, Nurulhuda Hajjir, Tzung-Chien Hsieh, Yair Hanani, Nicole Fleischer, Tom Kamphans, Stefan Mundlos, Yaron Gurovich, Peter M Krawitz. "Advances in computer-assisted syndrome recognition by the example of inborn errors of metabolism."  Journal of inherited metabolic disease, 2018
  • Alexej Knaus, Jean Tori Pantel, Manuela Pendziwiat, Nurulhuda Hajjir, Max Zhao, Tzung-Chien Hsieh, Max Schubach, Yaron Gurovich, Nicole Fleischer, Marten Jäger, Sebastian Köhler, Hiltrud Muhle, Christian Korff, Rikke S Møller, Allan Bayat, Patrick Calvas, Nicolas Chassaing, Hannah Warren, Steven Skinner, Raymond Louie, Christina Evers, Marc Bohn, Hans-Jürgen Christen, Myrthe van den Born, Ewa Obersztyn, Agnieszka Charzewska, Milda Endziniene, Fanny Kortüm, Natasha Brown, Peter N Robinson, Helenius J Schelhaas, Yvonne Weber, Ingo Helbig, Stefan Mundlos, Denise Horn, Peter M Krawitz. "Characterization of glycosylphosphatidylinositol biosynthesis defects by clinical features, flow cytometry, and automated image analysis." Genome Medicine, 2018
  • Hsi-Che Liu, Pei-Chen Peng, Tzung-Chien Hsieh, Ting-Chi Yeh, Chih-Jen Lin, Chien-Yu Chen, Jen-Yin Hou, Lee-Yung Shih,  Der-Cherng Liang. "Comparison of feature selection methods for cross-laboratory microarray analysis." IEEE/ACM Trans. Comput. Biol. Bioinformatics 10, 3 (May 2013)

 

Conference

Talk

  • Tzung-Chien Hsieh, et al. “Removing confounders from facial representations trained on the biased patient images.” Oral presentation in Bioinformatics, machine learning and statistical learning session, European Human Genetics Conference, August 2021, Virtual

  • Tzung-Chien Hsieh, et al. “GestaltMatch: breaking the limits of rare Mendelian disorder diagnosis by matching patients with next-generation phenotyping.” Oral presentation in Novel Bioinformatics and Machine-Learning methods session, European Human Genetics Conference, June 2020, Virtual

  • Tzung-Chien Hsieh, et al. “GestaltMatcher: Finding the second patient of a novel syndrome with next-generation phenotyping.” Oral presentation, German Conference on Bioinformatics, September 2019, Heidelberg, Germany

  • Tzung-Chien Hsieh, A. Bar-Haim, D. Dukić, T.J. Pantel, M. Mensah, Y. Gurovich, N. Fleischer, Y. Hanani, G. Nadav, T. Kamphans, P. Krawitz. "GestaltMatcher: Identifying the second patient of its kind in the phenotype space." Talk in Bioinformatics and multiomics Session, European Human Genetics Conference, June 15-18, 2019, Gothenburg, Sweden
  • Tzung-Chien Hsieh, N. Hajjir, J.T. Pantel, M. Mensah, M. Zhao, J. Hertzberg, M. Schubach, S. Köhler, Y. Gurovich, N. Fleischer, H. David-Eden, Y. Hanani, T. Kamphans, D. Horn, S. Mundlos, P. Krawitz. "Exploring molecular interactions by clustering analysis of similarity scores from next-generation phenotyping approaches." Selected poster talk in Best Poster Session, European Human Genetics Conference, June 16-19, 2018, Milan, Italy
  • Tzung-Chien Hsieh, Nur Hajjir, Tori Pantel, Martin Mensah, et al., “Deep Phenotyping for Deep Learning: A searchable knowledge base which integrates genotype-phenotype information for clustering analysis in the phenotype space.” Oral presentation, 29th Conference of the German Society of Human Genetics, March 16-18, 2018, Munster, Germany
  • Tori Pantel, Max Zhao, Martin Mensah, Nur Hajjir, Tzung-Chien Hsieh, Yair Hanani, et al., “Advances in computer-assisted syndrome recognition and differentiation in a set of metabolic disorders.”Oral presentation, 29th Conference of the German Society of Human Genetics, March 16-18, 2018, Munster, Germany

Poster

  • Tzung-Chien Hsieh, N. Hajjir, J.T. Pantel, M. Mensah, M. Zhao, J. Hertzberg, M. Schubach, S. Köhler, Y. Gurovich, N. Fleischer, H. David-Eden, Y. Hanani, T. Kamphans, D. Horn, S. Mundlos, P. Krawitz. "Exploring molecular interactions by clustering analysis of similarity scores from next-generation phenotyping approaches." Poster,European Human Genetics Conference, June 16-19, 2018 
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