Dr. Jack Kuipers

Dr.  Jack Kuipers

Dr. Jack Kuipers

Lecturer at the Department of Biosystems Science and Engineering

ETH Zürich

Professur f. Computational Biology

BSS G 2.1

Klingelbergstrasse 48

4056 Basel

Switzerland

Additional information

Research area

Cancer evolution modelling

Phylogenetic tree inference

Network and probabilistic graphical models

Single-cell sequencing analysis

 

Since Nov 2020: Senior scientist, Computational Biology Group, ETH Zurich

Nov 2015 - Oct 2020: Senior researcher, Computational Biology Group, ETH Zurich

Sep 2014 - Oct 2015: Postdoc, Computational Biology Group, ETH Zurich

Apr 2008 - Aug 2014: Humboldt fellow and postdoc, Institute of Theoretical Physics, University of Regensburg

Oct 2004 - Mar 2008: PhD in Quantum Chaos, School of Mathematics, University of Bristol

Oct 2000 - July 2004: BSc in Mathematics and Physics with study in Continental Europe (Hons 1st class), University of Bristol

 

Additional information

 

Preprints:

 

  • Mutation order in acute myeloid leukemia identifies uncommon patterns of evolution and illuminates phenotypic heterogeneity
    Matthew Schwede*, Katharina Jahn*, Jack Kuipers, Linde Miles, Robert Bowman, Troy Robinson, Ken Furudate, Hidetaka Uryu, Tomoyuki Tanaka, Yuya Sasaki, Asiri Ediriwickrema, Brooks Benard, Andrew Gentles, Ross Levine, Niko Beerenwinkel^, Koichi Takahashi^ and Ravi Majeti^
    Preprintcall_made
  • Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies
    Fritz Bayer, Marco Roncador, Giusi Moffa, Kiyomi Morita, Koichi Takahashi, Niko Beerenwinkel and Jack Kuipers
    bioRxiv:2023.10.25.563992call_made
  • DelSIEVE: joint inference of single-nucleotide variants, somatic deletions and cell phylogeny from single-cell DNA sequencing data
    Senbai Kang, Nico Borgsmüller, Monica Valecha, Jack Kuipers, Niko Beerenwinkel, David Posada and Ewa Szczurek
    bioRxiv:2023.09.09.556903call_made
  • Uncovering network structure relating academic achievement, motivation, and schooling experience using structure learning of directed acyclic graphs
    Farhan Ali, Siska K. Lim, Giusi Moffa, Jack Kuipers and Rebecca P. Ang
    EdArXiv:3e7zacall_made
  • Deep exponential families for single-cell data analysis
    Pedro F. Ferreira, Jack Kuipers^ and Niko Beerenwinkel^
    bioRxiv:2022.10.15.512383call_made
  • The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventions
    Jack Kuipers and Giusi Moffa
    arXiv:2205.02602call_made
  • Marginalization in Bayesian networks: Integrating exact and approximate inference
    Fritz M. Bayer, Giusi Moffa, Niko Beerenwinkel and Jack Kuipers
    arXiv:2112.09217call_made
  • Mapping single-cell transcriptomes to copy number evolutionary trees
    Pedro F. Ferreira, Jack Kuipers^ and Niko Beerenwinkel^
    RECOMB 2022
    bioRxiv:2021.11.04.467244call_made
  • Benchpress: a scalable and platform-independent workflow for benchmarking structure learning algorithms for graphical models
    Felix L. Rios, Giusi Moffa and Jack Kuipers
    arXiv:2107.03863call_made
  • Within-patient genetic diversity of SARS-CoV-2
    Jack Kuipers*, Aashil A Batavia*, Kim Philipp Jablonski*, Fritz Bayer, Nico Borgsmüller, Arthur Dondi, Monica-Andreea Drăgan, Pedro Ferreira, Katharina Jahn, Lisa Lamberti, Martin Pirkl, Susana Posada-Céspedes, Ivan Topolsky, Ina Nissen, Natascha Santacroce, Elodie Burcklen, Tobias Schär, Vincenzo Capece, Christiane Beckmann, Olivier Kobel, Christoph Noppen, Maurice Redondo, Sarah Nadeau, Sophie Seidel, Noemie Santamaria de Souza, Christian Beisel, Tanja Stadler and Niko Beerenwinkel
    bioRxiv:2020.10.12.335919call_made
  • Single-cell copy number calling and event history reconstruction
    Jack Kuipers*, Mustafa Anıl Tuncel*, Pedro Ferreira, Katharina Jahn and Niko Beerenwinkel
    bioRxiv:2020.04.28.065755call_made

 

In press:

 

  • A Bayesian take on Gaussian process networks
    Enrico Giudice, Jack Kuipers and Giusi Moffa
    NeurIPS, in press
    arXiv:2306.11380call_made
  • Sexual abuse and psychotic phenomena: a Directed Acyclic Graph analysis of affective symptoms using English national psychiatric survey data
    G. Moffa, J. Kuipers, E. Kuipers, S. McManus and P. Bebbington
    Psychological Medicine, in press
    Abstractcall_made

 

Computational Biology (31):

 

  • Single-cell phylogenies reveal deviations from clock-like, neutral evolution in cancer and healthy tissues (2023)
    Nico Borgsmüller*, Monica Valecha*, Jack Kuipers, Niko Beerenwinkel^ and David Posada^
    Cell Genomics 3 100380
    Abstractcall_made   bioRxiv:2022.08.09.503287call_made
  • Joint copy number and mutation phylogeny reconstruction from single-cell amplicon sequencing data (2023)
    Etienne Sollier, Jack Kuipers, Koichi Takahashi, Niko Beerenwinkel and Katharina Jahn
    Nature Communications 14 4921
    Abstractcall_made   bioRxiv:2022.01.06.475205call_made
  • Joint inference of repeated evolutionary trajectories and patterns of clonal exclusivity or co-occurrence from tumor mutation trees (2023)
    Xiang Ge Luo, Jack Kuipers and Niko Beerenwinkel
    RECOMB 2022
    Nature Communications 14 3676
    Abstractcall_made   bioRxiv:2021.11.04.467347call_made
  • SIEVE: joint inference of single-nucleotide variants and cell phylogeny from single-cell DNA sequencing data (2022)
    Senbai Kang, Nico Borgsmüller, Monica Valecha, Jack Kuipers, Joao Alves, Sonia Prado-López, Débora Chantada, Niko Beerenwinkel, David Posada and Ewa Szczurek
    Genome Biology 23 248
    Abstractcall_made   bioRxiv:2022.03.24.485657call_made
  • Single-cell mutation calling and phylogenetic tree reconstruction with loss and recurrence (2022)
    Jack Kuipers*, Jochen Singer* and Niko Beerenwinkel
    Bioinformatics 38 4713-4719
    Abstractcall_made   bioRxiv:2022.01.28.478229call_made
  • Multi-omics subtyping of hepatocellular carcinoma patients using a Bayesian network mixture model (2022)
    Polina Suter, Eva Dazert, Jack Kuipers, Charlotte K.Y. Ng, Tuyana Boldanova, Michael N. Hall, Markus H. Heim and Niko Beerenwinkel
    PLoS Computational Biology 18 e1009767
    Abstractcall_made   bioRxiv:2021.12.16.473083call_made
  • Discovering gene regulatory networks of multiple phenotypic groups using dynamic Bayesian networks (2022)
    Polina Suter, Jack Kuipers and Niko Beerenwinkel
    Briefings in Bioinformatics 23 bbac219
    Abstractcall_made   bioRxiv:2021.12.16.473035call_made
  • scAmpi - A versatile pipeline for single-cell RNA-seq analysis from basics to clinics (2022)
    Anne Bertolini*, Michael Prummer*, Mustafa A. Tuncel, Ulrike Menzel, M. Lourdes Rosano-González, Jack Kuipers, Daniel J. Stekhoven, Tumor Profiler Consortium, Niko Beerenwinkel and Franziska Singer
    PLoS Computational Biology 18 e1010097
    Abstractcall_made   bioRxiv:2021.03.25.437054call_made
  • Statistical tests for intra-tumour clonal co-occurrence and exclusivity (2021)
    Jack Kuipers*, Ariane L. Moore*, Katharina Jahn, Peter Schraml, Feng Wang, Kiyomi Morita, P. Andrew Futreal, Koichi Takahashi, Christian Beisel, Holger Moch and Niko Beerenwinkel
    PLoS Computational Biology 17 e1009036
    Abstractcall_made   bioRxiv:2021.05.05.442732call_made
  • Comparing mutational pathways to lopinavir resistance in HIV-1 subtypes B versus C (2021)
    Susana Posada-Céspedes, Gert Van Zyl, Hesam Montazeri, Jack Kuipers, Soo-Yon Rhee, Roger Kouyos, Huldrych F. Günthard and Niko Beerenwinkel
    PLoS Computational Biology 17 e1008363
    Abstractcall_made   bioRxiv:2020.09.25.312942call_made
  • Spatial distribution of private gene mutations in clear cell renal cell carcinoma (2021)
    Ariane L. Moore*, Aashil A. Batavia*, Jack Kuipers, Jochen Singer, Elodie Burcklen, Peter Schraml, Christian Beisel, Holger Moch and Niko Beerenwinkel
    Cancers, 13 2163
    Abstractcall_made   bioRxiv:305623call_made
  • The Tumor Profiler Study: Integrated, multi-omic, functional tumor profiling for clinical decision support (2021)
    Anja Irmisch*, Ximena Bonilla*, Stéphane Chevrier*, Kjong-Van Lehmann*, Franziska Singer*, Nora C. Toussaint*, Cinzia Esposito*, Julien Mena*, Emanuela S. Milani*, Ruben Casanova*, Daniel J. Stekhoven*, Rebekka Wegmann*, Francis Jacob*, Bettina Sobottka*, Sandra Goetze*, Jack Kuipers*, Jacobo Sarabia del Castillo*, Michael Prummer, Mustafa A. Tuncel, Ulrike Menzel, Andrea Jacobs, Stefanie Engler, Sujana Sivapatham, Anja L. Frei, Gabriele Gut, Joanna Ficek, Nicola Miglino, Tumor Profiler Consortium, Rudolf Aebersold^, Marina Bacac^, Niko Beerenwinkel^, Christian Beisel^, Bernd Bodenmiller^, Reinhard Dummer^, Viola Heinzelmann-Schwarz^, Viktor H. Koelzer^, Markus G. Manz^, Holger Moch^, Lucas Pelkmans^, Berend Snijder^, Alexandre P.A. Theocharides^, Markus Tolnay^, Andreas Wicki^, Bernd Wollscheid^, Gunnar Rätsch^, Mitchell P. Levesque^
    Cancer Cell 39 288-293
    Abstractcall_made   medRxiv:2020.02.13.20017921call_made
  • Tracing clonal dynamics reveals that two- and three-dimensional patient-derived cell models capture tumor heterogeneity of clear cell renal cell carcinoma (2021)
    Hella A. Bolck*, Claudia Corrò*, Abdullah Kahraman, Adriana von Teichman, Nora C. Toussaint, Jack Kuipers, Francesca Chiovaro, Viktor H. Koelzer, Chantal Pauli, Wolfgang Moritz, Peter K. Bode, Markus Rechsteiner, Niko Beerenwinkel, Peter Schraml^ and Holger Moch^
    European Urology Focus 7 152-162
    Abstractcall_made
  • Clonal evolution of Acute Myeloid Leukemia revealed by high-throughput single-cell genomics (2020)
    K. Morita*, F. Wang*, K. Jahn*, T. Hu, T. Tanaka, Y. Sasaki, J. Kuipers, S. Loghavi, S.A. Wang, Y. Yan, K. Furudate, J. Matthews, L. Little, C. Gumbs, J. Zhang, X. Song, E. Thompson, K. Patel, C.E. Bueso-Ramos, C.D. DiNardo, F. Ravandi, E. Jabbour, M. Andreeff, J. Cortes, K. Bhalla, G. Garcia-Manero, H. Kantarjian, M. Konopleva, D. Nakada, N. Navin, N. Beerenwinkel^, P.A. Futreal^ and K. Takahashi^
    Nature Communications 11 5327
    Abstractcall_made   bioRxiv:2020.02.07.925743call_made
  • Computational model reveals a stochastic mechanism behind germinal center clonal bursts (2020)
    Aurélien Pélissier, Youcef Akrout, Katharina Jahn, Jack Kuipers, Ulf Klein, Niko Beerenwinkel and María Rodríguez Martínez
    Cells 9 1448
    Abstractcall_made
  • Predicting colorectal cancer risk from adenoma detection via a two-type branching process model (2020)
    Brian M. Lang*, Jack Kuipers*, Benjamin Misselwitz and Niko Beerenwinkel
    PLoS Computational Biology 16 e1007552
    Abstractcall_made
  • Computational analysis of DNA and RNA sequencing data obtained from liquid biopsies (2020)
    Francesco Marass*, Francesc Castro-Giner*, Barbara M Szczerba, Katharina Jahn, Jack Kuipers, Nicola Aceto^ and Niko Beerenwinkel^
    In Tumor Liquid Biopsies, 347-368; Recent Results in Cancer Research 215; Springer, Cham
    Abstractcall_made
  • Phylogeny-guided single-cell mutation calling (2019)
    Jochen Singer, Katherina Jahn, Jack Kuipers and Niko Beerenwinkel
    In Computational Systems Biology Approaches in Cancer Research; Recent Results in Cancer Research; CRC Press
    Abstractcall_made
  • Integrative inference of subclonal tumour evolution from single-cell and bulk sequencing data (2019)
    Salem Malikic*, Katharina Jahn*, Jack Kuipers*, Cenk Sahinalp^ and Niko Beerenwinkel^
    RECOMB 2018
    Nature Communications 10 2750
    Abstractcall_made   bioRxiv:234914call_made
  • netprioR: A probabilistic model for integrative hit prioritisation of genetic screens (2019)
    Fabian Schmich, Jack Kuipers, Gunter Merdes and Niko Beerenwinkel
    Statistical Applications in Genetics and Molecular Biology 18 20180033
    Abstractcall_made
  • SCIΦ: Single-cell mutation identification via phylogenetic inference (2018)
    Jochen Singer*, Jack Kuipers*, Katharina Jahn and Niko Beerenwinkel
    RECOMB 2018
    Nature Communications 9 5144
    Abstractcall_made   bioRxiv:290908call_made
  • Mutational interactions define novel cancer subgroups (2018)
    Jack Kuipers^, Thomas Thurnherr, Giusi Moffa, Polina Suter, Jonas Behr, Ryan Goosen, Gerhard Christofori, Niko Beerenwinkel^
    Nature Communications 9 4353
    Abstractcall_made   bioRxiv:187260call_made
  • Improved pathway reconstruction from RNA interference screens by exploiting off-target effects (2018)
    Sumana Srivatsa, Jack Kuipers, Fabian Schmich, Simone Eicher, Mario Emmenlauer, Christoph Dehio, Niko Beerenwinkel
    ISMB 2018
    Bioinformatics 34 i519–i527
    Abstractcall_made   bioRxiv:258319call_made
  • Single-cell sequencing data reveal widespread recurrence and loss of mutational hits in the life histories of tumors (2017)
    Jack Kuipers*, Katharina Jahn*, Benjamin J Raphael and Niko Beerenwinkel
    Genome Research 27 1885-1894
    Abstractcall_made   bioRxiv:094722call_made
  • The influence of canalization on the robustness of Boolean networks (2017)
    Claus Kadelka, Jack Kuipers and Reinhard Laubenbacher
    Physica D 353-354 39-47
    Abstractcall_made   arXiv:1607.04474call_made   bioRxiv:064089call_made
  • Multistate nested canalizing functions and their networks (2017)
    Claus Kadelka, Yuan Li, Jack Kuipers, John O. Adeyeye and Reinhard Laubenbacher
    Theoretical Computer Science 675 1-14
    Abstractcall_made   arXiv:1411.4067call_made
  • Advances in understanding tumour evolution through single-cell sequencing (2017)
    Jack Kuipers*, Katharina Jahn* and Niko Beerenwinkel
    BBA Reviews on Cancer 1867 127-138
    Abstractcall_made
  • pathTiMEx: Joint inference of mutually exclusive cancer pathways and their dependencies in tumor progression (2017)
    Simona Cristea, Jack Kuipers and Niko Beerenwinkel
    RECOMB 2016, Research in Computational Molecular Biology, 65-82 Abstractcall_made
    Journal of Computational Biology 24 603-615
    Abstractcall_made
  • Detailed simulation of cancer exome sequencing data reveals differences and common limitations of variant callers (2017)
    Ariane Hofmann*, Jonas Behr*, Jochen Singer, Jack Kuipers, Christian Beisel, Peter Schraml, Holger Moch and Niko Beerenwinkel
    BMC Bioinformatics 18 8
    Abstractcall_made
  • Large-scale inference of conjunctive Bayesian networks (2016)
    Hesam Montazeri, Jack Kuipers, Roger Kouyos, Jürg Böni, Sabine Yerly, Thomas Klimkait, Vincent Aubert, Huldrych F Günthard and Niko Beerenwinkel
    ECCB 2016
    Bioinformatics 32 i727-i735
    Abstractcall_made
  • Tree inference for single-cell data (2016)
    Katharina Jahn*, Jack Kuipers* and Niko Beerenwinkel
    RECOMB 2016
    Genome Biology 17 86
    Abstractcall_made   bioRxiv:047795call_made

 

Consortium papers (5):

 

  • ROS induction targets persister cancer cells with low metabolic activity in NRAS-mutated melanoma (2023)
    Ossia M Eichhoff, Corinne I Stoffel, Jan Käsler, Luzia Briker, Patrick Turko, Gergely Karsai, Nina Zila, Verena Paulitschke, Phil F Cheng, Alexander Leitner, Andrea Bileck, Nicola Zamboni, Anja Irmisch, Zsolt Balazs, Aizhan Tastanova, Susana Pascoal, Pål Johansen, Rebekka Wegmann, Julien Mena, Alaa Othman, Vasanthi S Viswanathan, Judith Wenzina, Andrea Aloia, Annalisa Saltari, Andreas Dzung, TuPro Consortium, Michael Krauthammer, Stuart L Schreiber, Thorsten Hornemann, Martin Distel, Berend Snijder, Reinhard Dummer, Mitchell P Levesque
    Cancer Research 83 1128-1146
    Abstractcall_made
  • scROSHI: robust supervised hierarchical identification of single cells (2023)
    Michael Prummer, Anne Bertolini, Lars Bosshard, Florian Barkmann, Josephine Yates, Valentina Boeva, Tumor Profiler Consortium, Daniel Stekhoven, Franziska Singer
    NAR Genomics and Bioinformatics 5 lqad058
    Abstractcall_made
  • Establishing standardized immune phenotyping of metastatic melanoma by digital pathology (2021)
    Bettina Sobottka, Marta Nowak, Anja Laura Frei, Martina Haberecker, Samuel Merki, Tumor Profiler Consortium, Mitchell P. Levesque, Reinhard Dummer, Holger Moch and Viktor H. Koelzer
    Laboratory Investigation 101 1561–1570
    Abstractcall_made
  • SCIM: universal single-cell matching with unpaired feature sets (2020)
    Stefan G. Stark*, Joanna Ficek*, Francesco Locatello, Ximena Bonilla, Stéphane Chevrier, Franziska Singer, Tumor Profiler Consortium, Gunnar Rätsch^, Kjong-Van Lehmann^
    Bioinformatics 36 i919–i927
    Abstractcall_made   bioRxiv:2020.06.11.146845call_made
  • CATALYST: An R-based reproducible and user-friendly preprocessing pipeline for CyTOF data (2020)
    Helena L. Crowell*, Stéphane Chevrier*, Andrea Jacobs, Sujana Sivapatham, Tumor Profiler Consortium, Bernd Bodenmiller*, Mark D. Robinson*
    F1000Research 9 1263
    Abstractcall_made

 

 

Computational Statistics (13):

 

  • The dual PC algorithm and the role of Gaussianity for structure learning of Bayesian networks (2023)
    Enrico Giudice, Jack Kuipers and Giusi Moffa
    IJAR 161 108975
    Abstractcall_made   arXiv:2112.09036call_made
  • Bayesian structure learning and sampling of Bayesian networks with the R package BiDAG (2023)
    Polina Suter, Jack Kuipers, Giusi Moffa and Niko Beerenwinkel
    Journal of Statistical Software 105 i09
    Abstractcall_made   arXiv:2105.00488call_made
  • Longitudinal symptomatic interactions in long-standing schizophrenia: a novel five-point analysis based on directed acyclic graphs (2023)
    G. Moffa*, J. Kuipers*, G. Carrà, C. Crocamo, E. Kuipers, M. Angermeyer, T. Brugha, M. Toumi and P. Bebbington
    Psychological Medicine 53 1371-1378
    Abstractcall_made
  • The dual PC algorithm for structure learning (2022)
    Enrico Giudice, Jack Kuipers and Giusi Moffa
    PGM 2022, best student paper award
    PMLR 186 301-312
    Abstractcall_made
  • Efficient sampling and structure learning of Bayesian networks (2022)
    Jack Kuipers, Polina Suter and Giusi Moffa
    Journal of Computational and Graphical Statistics 31 639-650
    Abstractcall_made   arXiv:1803.07859call_made
  • The variance of causal effect estimators for binary v-structures (2022)
    Jack Kuipers and Giusi Moffa
    Journal of Causal Inference 10 90-105
    Abstractcall_made   arXiv:2004.09181call_made
  • Learning Bayesian networks from ordinal data (2021)
    Xiang Ge Luo, Giusi Moffa and Jack Kuipers
    Journal of Machine Learning Research, 22 1-44
    Abstractcall_made   arXiv:2010.15808call_made
  • Links between psychotic and neurotic symptoms in the general population: An analysis of longitudinal British National Survey data using Directed Acyclic Graphs (2019)
    J. Kuipers*, G. Moffa*, E. Kuipers, D. Freeman and P. Bebbington
    Psychological Medicine 49 388-395
    Abstractcall_made
  • Using directed acyclic graphs in epidemiological research in psychosis: An analysis of the role of bullying in psychosis (2017)
    G. Moffa*, G. Catone*, J. Kuipers, E. Kuipers, D. Freeman, S. Marwaha, B. Lennox, M. Broome and P. Bebbington
    Schizophrenia Bulletin 43 1273-1279
    Abstractcall_made
  • Partition MCMC for inference on acyclic digraphs (2017)
    Jack Kuipers and Giusi Moffa
    J. Am. Stat. Assoc. 112 282-299
    Abstractcall_made   arXiv:1504.05006call_made
  • Uniform random generation of large acyclic digraphs (2015)
    Jack Kuipers and Giusi Moffa
    Stats. & Comp. 25 227-242
    Abstractcall_made   arXiv:1202.6590call_made
  • Addendum on the scoring of Gaussian directed acyclic graphical models (2014)
    Jack Kuipers, Giusi Moffa and David Heckerman
    Ann. Stats. 42 1689-1691
    Abstractcall_made   arXiv:1402.6863call_made
  • Sequential Monte Carlo EM for multivariate probit models (2014)
    Giusi Moffa and Jack Kuipers
    Comp. Stats. & Data An. 72 252-272
    Abstractcall_made   arXiv:1107.2205call_made

 

Mathematical Physics (29):

 

  • Effect of a tunnel barrier on time delay statistics (2023)
    Marcel Novaes and Jack Kuipers
    Phys. Rev. E 108 034201
    Abstractcall_made   arXiv:2302.09030call_made
  • Universal S-matrix correlations for complex scattering of many-body wavepackets: theory, simulation and experiment (2021)
    Andreas Bereczuk, Barbara Dietz, Jiongning Che, Jack Kuipers, Juan-Diego Urbina and Klaus Richter
    Phys. Rev. E 103 052209
    Abstractcall_made   arXiv:2010.07409call_made
  • From many-particle interference to correlation spectroscopy (2016)
    Mattia Walschaers, Jack Kuipers and Andreas Buchleitner
    Phys. Rev. A 94 020104(R)
    Abstractcall_made   arXiv:1604.00649call_made
  • Multiparticle correlations in mesoscopic scattering: Boson sampling, birthday paradox, and Hong-Ou-Mandel profiles (2016)
    Juan-Diego Urbina, Jack Kuipers, Sho Matsumoto, Quirin Hummel and Klaus Richter
    Phys. Rev. Lett. 116 100401
    Abstractcall_made   arXiv:1409.1558call_made
  • Statistical benchmark for BosonSampling (2016)
    Mattia Walschaers, Jack Kuipers, Juan-Diego Urbina, Klaus Mayer, Malte C Tichy, Klaus Richter and Andreas Buchleitner
    New J. Phys. 18 032001
    Abstractcall_made   arXiv:1410.8547call_made
  • Efficient semiclassical approach for time delays (2014)
    Jack Kuipers, Dmitry V. Savin and Martin Sieber
    New J. Phys. 16 123018
    Abstractcall_made   arXiv:1409.1532call_made
  • Quantum graphs whose spectra mimic the zeros of the Riemann zeta function (2014)
    Jack Kuipers, Quirin Hummel and Klaus Richter
    Phys. Rev. Lett. 112 070406
    Abstractcall_made   arXiv:1307.6055call_made
  • Combinatorial theory of the semiclassical evaluation of transport moments II: Algorithmic approach for moment generating functions (2013)
    Gregory Berkolaiko* and Jack Kuipers*
    J. Math. Phys. 54 123505
    Abstractcall_made   arXiv:1307.3280call_made
  • Combinatorial theory of the semiclassical evaluation of transport moments I: Equivalence with the random matrix approach (2013)
    Gregory Berkolaiko* and Jack Kuipers*
    J. Math. Phys. 54 112103
    Abstractcall_made   arXiv:1305.4875call_made
  • Transport moments and Andreev billiards with tunnel barriers (2013)
    Jack Kuipers and Klaus Richter
    J. Phys. A 46 055101
    Abstractcall_made   arXiv:1210.7948call_made
  • Universality in chaotic quantum transport: The concordance between random matrix and semiclassical theories (2012)
    Gregory Berkolaiko* and Jack Kuipers*
    Phys. Rev. E 85 045201(R)
    Abstractcall_made   arXiv:1111.4906call_made
  • Conductance fluctuations in chaotic systems with tunnel barriers (2012)
    Daniel Waltner, Jack Kuipers, Philippe Jacquod and Klaus Richter
    Phys. Rev. B 85 024302
    Abstractcall_made   arXiv:1108.5091call_made
  • Transport moments beyond the leading order (2011)
    Gregory Berkolaiko* and Jack Kuipers*
    New J. Phys.13 063020
    Abstractcall_made   arXiv:1012.3526call_made
  • Conductance and thermopower of ballistic Andreev cavities (2011)
    Thomas Engl, Jack Kuipers and Klaus Richter
    Phys. Rev. B 83 205414
    Abstractcall_made   arXiv:1012.3385call_made
  • The density of states of chaotic Andreev billiards (2011)
    Jack Kuipers, Thomas Engl, Gregory Berkolaiko, Cyril Petitjean, Daniel Waltner and Klaus Richter
    Phys. Rev. B 83 195316
    Abstractcall_made   arXiv:1004.1327call_made
  • Ehrenfest-time dependence of counting statistics for chaotic ballistic systems (2011)
    Daniel Waltner, Jack Kuipers and Klaus Richter
    Phys. Rev. B 83 195315
    Abstractcall_made   arXiv:1007.1595call_made
  • Weak localization in mesoscopic hole transport: Berry phases and classical correlations (2011)
    Viktor Krueckl, Michael Wimmer, Inanc Adagideli, Jack Kuipers and Klaus Richter
    Phys. Rev. Lett. 106 146801
    Abstractcall_made   arXiv:1009.5571call_made
  • Ehrenfest-time dependence of quantum transport corrections and spectral statistics (2010)
    Daniel Waltner and Jack Kuipers
    Phys. Rev. E 82 066205
    Abstractcall_made   arXiv:1006.0142call_made
  • Quantum corrections to fidelity decay in chaotic systems (2010)
    Boris Gutkin, Daniel Waltner, Martha Gutiérrez, Jack Kuipers and Klaus Richter
    Phys. Rev. E 81 036222
    Abstractcall_made   arXiv:0911.0823call_made
  • Moments of the Wigner delay times (2010)
    Gregory Berkolaiko* and Jack Kuipers*
    J. Phys. A 43 035101
    Abstractcall_made   arXiv:0910.0060call_made
  • Semiclassical gaps in the density of states of chaotic Andreev billiards (2010)
    Jack Kuipers, Daniel Waltner, Cyril Petitjean, Gregory Berkolaiko and Klaus Richter
    Phys. Rev. Lett. 104 027001
    Abstractcall_made   arXiv:0907.2660call_made
  • Semiclassics for chaotic systems with tunnel barriers (2009)
    Jack Kuipers
    J. Phys. A 42 425101
    Abstractcall_made   arXiv:0906.1964call_made
  • Semiclassical approach to the ac-conductance of chaotic cavities (2009)
    Cyril Petitjean, Daniel Waltner, Jack Kuipers, Inanc Adagideli and Klaus Richter
    Phys. Rev. B 80 115310
    Abstractcall_made   arXiv:0906.1791call_made
  • The semiclassical continuity equation for open chaotic systems (2009)
    Jack Kuipers, Daniel Waltner, Martha Gutiérrez and Klaus Richter
    Nonlinearity 22 1946-1964
    Abstractcall_made   arXiv:0811.2164call_made
  • Semiclassical theory for decay and fragmentation processes in chaotic quantum systems (2009)
    Martha Gutiérrez, Daniel Waltner, Jack Kuipers and Klaus Richter
    Phys. Rev. E 79 046212
    Abstractcall_made   arXiv:0811.1884call_made
  • The semiclassical relation between open trajectories and periodic orbits for the Wigner time delay (2008)
    Jack Kuipers and Martin Sieber
    Phys. Rev. E 77 046219
    Abstractcall_made   arXiv:0711.4537call_made
  • Semiclassical expansion of parametric correlations functions of the quantum time delay (2007)
    Jack Kuipers and Martin Sieber
    Nonlinearity 20 909-926
    Abstractcall_made   arXiv:nlin/0608059call_made
  • Semiclassical universality of parametric spectral correlations (2007)
    Jack Kuipers and Martin Sieber
    J. Phys. A 40 935-948
    Abstractcall_made   arXiv:nlin/0608008call_made
  • Nucleated dwarf elliptical galaxies in the Virgo cluster (2005)
    N.I. Grant*, J.A. Kuipers* and S. Phillipps
    MNRAS 363 1019-1030
    Abstractcall_made
JavaScript has been disabled in your browser