Current status Jens Lagergren THE CORE VIEW PERSPECTIVE - PowerPoint PPT Presentation

KTH Royal Institute of Technology Current status Jens Lagergren

THE CORE VIEW PERSPECTIVE Computational Cancer Biology: An Evolutionary Perspective Niko Beerenwinkel 1,2 * , Chris D. Greenman 3 * , Jens Lagergren 4 * Differentiation ★ Space ★ Time ★ Phenotype etcetera ★

APPLICANTS Jens Lagergren, KTH ★ Lukas Käll, KTH ★ Johan Hartman, KS ★ Jonas Frisén, KI ★

2/7/2016 Academic Records RECRUITMENT Academic Records 12/07/2017 KTH | Jonas Maaskola Close Print To jump to commitee records follow this link ­­> Commitee Rec. Sept. Name: HAZAL KOPTAGEL Photo Student#: 2014700096 GPA: 3,94 PhDs Semester: 4 English Test / Result: ELTS / P INST.FOR GRADUATE STUDIES IN Faculty: SCIENCE&ENGINEERING Department: COMPUTER ENGINEERING Status / MASTER / NORMAL Term Status: High School: SİVAS FEN LİSESİ E­Mail: koptagelhazal@gmail.com ALİ TAYLAN CEMGİL Advisor(s): (taylan.cemgil@boun.edu.tr) The student is registered for the semester 2015/2016­1. KTH Profiler Hazal Koptagel Gustavo Jeuken Profiles in English Term Information Overall Attempted : 25 Overall Completed : 25 Semester : 2015/2016­1 GPA : 3,94 Overall Points : 98,5 +0 +0 Status : SPA : 4 Sem. Attempted : 6 +0 Sem. Completed : 6 +0 Sem. Points : 24 KTH / Profiler / Jonas Maaskola CMPE540 .01 PRINCIPLES OF ARTIFICIAL INTELLIGENCE AA 3 Oct. Postdocs CMPE585 .01 SP.TP.WEARABLE COMPUTING AA 3 CMPE690 .07 M.S.THESIS TP 0 Jonas Maaskola Overall Attempted : 19 Overall Completed : 19 Semester : 2014/2015­2 GPA : 3,92 Overall Points : 74,5 +0 +0 Jan. Status : SPA : 3,83 Sem. Attempted : 9 +0 Sem. Completed : 9 +0 Sem. Points : 34,5 CMPE545 .01 ARTIFICIAL NEURAL NETWORKS BA 3 CMPE548 .01 MONTE CARLO METHODS AA 3 CMPE58P .01 SP.TOP.IN CMPE:MACHINE LISTENING AA 3 Overall Attempted : 10 Overall Completed : 10 Semester : 2014/2015­1 GPA : 4 Overall Points : 40 +0 +0 Status : SPA : 4 Sem. Attempted : 10 +0 Sem. Completed : 10 +0 Sem. Points : 40 CMPE544 .01 PATTERN RECOGNITION AA 3 CMPE547 .01 BAYESIAN STATISTICS&MACHINE LEARNING AA 3 CMPE579 .01 GRADUATE SEMINAR P 0 Olivier Bilenne Seong-Hwan Jun CMPE599 .05 GUIDED RESEARCH IN MS­I AA 4 Commitee Records RESEARCHER Jonas Maaskola Ayan Chaudhury Semester Type Detail 2014/2015­1 GR­PHD KABULÜ 10.06.2014/12 YKK İLE COE MASTER KABULÜ. Close Print Kungliga Tekniska Högskolan https://www.kth.se/profile/maaskola Detaljer Arbetar vid DIVISION OF GENE TECHNOLOGY Adress Tomtebodavägen 23A, Solna E-post jonas.maaskola@scilifelab.se Arbetar på Science for Life Laboratory http://registration.boun.edu.tr/scripts/stuinfar.asp 1/1 Publikationer Publikationslista https://www.kth.se/profile/maaskola 1/2

HAZAL KOPTAGEL 2/7/2016 Academic Records Academic Records Close Print To jump to commitee records follow this link ­­> Commitee Rec. Cell lineage trees ★ Name: HAZAL KOPTAGEL Photo Student#: 2014700096 GPA: 3,94 Semester: 4 English Test / Result: ELTS / P Proper model INST.FOR GRADUATE STUDIES IN ✴ Faculty: SCIENCE&ENGINEERING Department: COMPUTER ENGINEERING Status / MASTER / NORMAL Term Status: Use (early) SNVs for detecting allelic drop-out High School: ✴ SİVAS FEN LİSESİ E­Mail: koptagelhazal@gmail.com ALİ TAYLAN CEMGİL Advisor(s): (taylan.cemgil@boun.edu.tr) The student is registered for the semester 2015/2016­1. Term Information Overall Attempted : 25 Overall Completed : 25 Semester : 2015/2016­1 GPA : 3,94 Overall Points : 98,5 +0 +0 Status : SPA : 4 Sem. Attempted : 6 +0 Sem. Completed : 6 +0 Sem. Points : 24 CMPE540 .01 PRINCIPLES OF ARTIFICIAL INTELLIGENCE AA 3 CMPE585 .01 SP.TP.WEARABLE COMPUTING AA 3 CMPE690 .07 M.S.THESIS TP 0 Overall Attempted : 19 Overall Completed : 19 Semester : 2014/2015­2 GPA : 3,92 Overall Points : 74,5 +0 +0 Status : SPA : 3,83 Sem. Attempted : 9 +0 Sem. Completed : 9 +0 Sem. Points : 34,5 CMPE545 .01 ARTIFICIAL NEURAL NETWORKS BA 3 CMPE548 .01 MONTE CARLO METHODS AA 3 CMPE58P .01 SP.TOP.IN CMPE:MACHINE LISTENING AA 3 Overall Attempted : 10 Overall Completed : 10 Semester : 2014/2015­1 GPA : 4 Overall Points : 40 +0 +0 Status : SPA : 4 Sem. Attempted : 10 +0 Sem. Completed : 10 +0 Sem. Points : 40 CMPE544 .01 PATTERN RECOGNITION AA 3 CMPE547 .01 BAYESIAN STATISTICS&MACHINE LEARNING AA 3 CMPE579 .01 GRADUATE SEMINAR P 0 CMPE599 .05 GUIDED RESEARCH IN MS­I AA 4 Commitee Records Semester Type Detail 2014/2015­1 GR­PHD KABULÜ 10.06.2014/12 YKK İLE COE MASTER KABULÜ. Close Print http://registration.boun.edu.tr/scripts/stuinfar.asp 1/1

JONAS MAASKOLA Gene g Spot s x gs Cell type t x gts c c ′ γ gt r t d d ′ φ gt θ ts µ gts e e ′ ρ gt p t f f ′ a σ s b Spatial Transcriptomics not yet single-cell resolution ★ Deconvolute and differentiate between cell types ✴

OLIVIER BILENNE Pathway-based path model for Cancer Progression ★ Extend - tree, single-cell, frequencies ★

EU ITN - CONTRA Consortium Dept./ Country Scientist-in-Charge #PhDs Member Division / Beneficiaries Royal Institute of Technology Sweden CST, CSC Jens Lagergren 2 University of Cambridge United Kingdom Cancer Research UK Cambridge Florian Markowetz 2 institute University of Warsaw Poland The Faculty of Mathematics, Ewa Szczurek 2 Informatics and Mechanics, Institute of Informatics ETH Zurich Switzerland Dept. of Biosystems Science and Niko Beerenwinkel 2 Engineering University of Vigo Spain Dept. Biochemistry, Genetics and David Posada 2 Immunology King’s College London United Kingdom Cancer Studies Francesca Ciccarelli 2 Institute for Research in Spain Biomedical Genomics Group, Nuria Lopez-Bigas 2 Structural and Bioinformatics and Biomedicine Cancer Programs The Institute of Cancer Research United Kingdom Molecular Pathology, Centre for Yinyin Yuan 1 Evolution and Cancer Partner Organisations Ardigen SA Poland Stefan Loska Merck KGaA Germany Eike Staub SBG UK Dr. Julia F. Li Spatial Transcriptomics AB Sweden Biotech Florian Baumgartner Galician Research and Spain eHealth Helena Fernández Development Centre in Advanced Telecommunications British Columbia Cancer Agency Canada D e p a r t m e n t o f M o l e c u l a r Dr. Sohrab Shah Branch Oncology Torus Software Solutions SL Spain HPC and Big Data Guillermo López

TRAINING EVENTS Main Training Events & Conferences ECTS Lead Action Month Institution ( estimated ) ( if any ) 1 1 st workshop: “kick-off and background” 2 KTH 7 2 1 st summer school: “Handling single cell data” 5 UNIWARSAW 10 2 nd summer school: “Cancer biology and treatment” UCAM 3 5 21 3 rd summer school: “Promoting your career” Gradiant 4 5 33 2 nd workshop: “Software development” Ardigen 5 5 13 6 3 rd workshop: “Models of evolution” 3 IRP 18 7 4 th workshop: “Spatial models of tumours” 3 ICR 29 8 International conference 2 ETH 36

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