Institute of Mathematics

Person

Dr. Bernadetta Tarigan

Institut für Mathematik
Universität Zürich
Winterthurerstrasse 190
CH-8057 Zürich

E-Mail:
Phone: +41 44 635 58 55
Fax: +41 44 635 57 06
Office: Y27J16
Bernadetta Tarigan is a qualified senior statistician with more than ten years of practical experience in consulting and data analysis in interdisciplinary applications including life sciences, using R-programming.

She obtained her Ph.D. in mathematical statistics at Seminar for Statistics, ETH Zurich in 2008 with a dissertation on fast rates of convergence for adaptive classification (pattern recognition / machine learning / support vector machine). Subsequently she worked as a Postdoc at Statistics for Life Sciences of Vrije Universiteit Amsterdam collaborating with Dept. of Computational Neuroscience. Since 2010 she run her own business Tarigan Statistical Consulting in Zurich, providing consulting, data analysis, tailor-made teaching and workshop for academy and industry. Parallel to it she also worked at Management Information System Group of ETH Zurich supervising statistical study designs (2012-2015) and at Applied Wood Materials Laboratory of EMPA Dubendorf modelling time-to-event (2016–2017).

Since June 2018 Bernadetta Tarigan is supporting the statistical consulting team of Dept. of Psychology UZH as an external. Since February 2019 she is supporting the animal research biostatistical consulting of Dept. of Animal Welfare and 3Rs UZH. Since October 2019 she is supporting the general statistical consulting of Dept. of Mathematics UZH.

She is very grateful and fortunate to be a student of Vipassana --an ancient meditation technique-- as thought by SN Goenka. It found her in early autumn 2008. There is a parallel between mathematics and meditation. One understands mathematics if and only if one does mathematics. Similarly, one understands meditation if and only if one practices it. This passage from Susan & Paul in The Power of Small Changes inspires her: "When you look back upon your life, what will be more important to you than [an empirical and rational] practice that leads towards peace within yourself?"

Work days: Monday afternoons, Tuesdays, Wednesdays, Thursdays

Vita

Selected Original Research Articles, Conference and Shiny-App

  1. Andreas Christ, Adrian Aeschbacher, Fereshteh Rouholahnejad, Theodoros Samaras, Bernadetta Tarigan, Niels Kuster. (2021) Reflection Properties of the Human Skin From 40 to 110 GHz: A Confirmation Study. Bioelectromagnetics, 42: 562-574. https://doi.org/10.1002/bem.22362.
  2. Cherneva, K., Furrer, R. and Tarigan, B.: SampleSizeR: calculate sample sizes within completely randomized design. https://doi.org/10.17605/OSF.IO/NF9P2. Available online at http://shiny.math.uzh.ch/git/reinhard.furrer/SampleSizeR/.
  3. Marta Caprio, Bernadetta Tarigan, C. Bruce Worden, Stefan Wiemer, David J. Wald (2015) Ground Motion to Intensity Conversion Equations (GMICEs): A Global Relationship and Evaluation of Regional Dependency. Bulletin of the Seismological Society of America ; 105 (3): 1476–1490. https://doi.org/10.1785/0120140286.
  4. Deng H., Tarigan B., Grigore M., Sutanto J. (2015) Understanding the ‘Quality Motion’ of Wikipedia Articles Through Semantic Convergence Analysis. Proceeding HCI in Business (Lecture Notes in Computer Science), Springer 9191, 64--75.
  5. McAssey MP, Bijma F, Tarigan B, van Pelt J, van Ooyen A, de Gunst M (2014) A Morpho-Density Approach to Estimating Neural Connectivity. PLoS ONE 9(1): e86526. doi:10.1371/journal.pone.0086526.
  6. van Ooyen A, Carnell A, de Ridder S, Tarigan B, Mansvelder HD, Bijma F, et al. (2014) Independently Outgrowing Neurons and Geometry-Based Synapse Formation Produce Networks with Realistic Synaptic Connectivity. PLoS ONE 9(1): e85858. doi:10.1371/journal.pone.0085858.
  7. Grigore M., Tarigan B., Sutanto J., Dellarocas C. (2014) Understanding the “Few that Matter” in Online Social Production Communities: The Case of Wikipedia. Collective Intelligence Conference, MIT, Boston.
  8. B. Tarigan and S. van de Geer (2008) A moment bound for multicategory support vector machines. Journal Machine Learning Research 9, 2171-2185.
  9. Bernadetta Tarigan (2008) Fast rates of convergence for adaptive classifiers. Ph.D. Dissertation ETH Zurich. https://doi.org/10.3929/ethz-a-005648950.
  10. Bernadetta Tarigan and S. van De Geer (2006) Classifiers of support vector machine type with l-1 complexity regularization. Bernoulli 12, no. 6, 1045-1076. https://doi.org/10.3150/bj/1165269150.
Fall 22 Fall 23