
Ian Lawson Van Toch Memorial Award for Outstanding Student Paper at ISMB conferences
The Outstanding Student Paper Award is given to the student who presents the most thought-provoking or original paper at the Conference, as judged by the panel of experts.
This award is given in memory of Ian Lawson Van Toch, a 23 year old Medical Biophysics graduate student at the University of Toronto who passed away in August 2007. Ian was fortunate to have already discovered his passion for computational biology and how it can - and will - lead to quantum breakthroughs in cancer research. This passion was sparked when Dr. Igor Jurisica hired Ian to work in his lab at the Ontario Cancer Institute as a researcher during the summer of 2006. That introduction blossomed into a mentoring relationship that is so vital to helping young students launch their careers.
This award is given in memory of Ian Lawson Van Toch, a 23 year old Medical Biophysics graduate student at the University of Toronto who passed away in August 2007. Ian was fortunate to have already discovered his passion for computational biology and how it can - and will - lead to quantum breakthroughs in cancer research. This passion was sparked when Dr. Igor Jurisica hired Ian to work in his lab at the Ontario Cancer Institute as a researcher during the summer of 2006. That introduction blossomed into a mentoring relationship that is so vital to helping young students launch their careers.

ISMB 2008 - Toronto
Lucas Ward, Columbia University, United States; (Next position: PDF at MIT)
Predicting functional transcription factor binding through alignment-free and affinity-based analysis of orthologous promoter sequences
Current position: Bioinformatics Scientist II at 5AM Solutions, Inc., Rockville, MD & Research Affiliate at MIT
Lucas Ward, Columbia University, United States; (Next position: PDF at MIT)
Predicting functional transcription factor binding through alignment-free and affinity-based analysis of orthologous promoter sequences
Current position: Bioinformatics Scientist II at 5AM Solutions, Inc., Rockville, MD & Research Affiliate at MIT

ISMB 2009 - Stockholm
Manfred Claassen, ETH Zurich, Switzerland; (Next position: PDF at Stanford University;
Proteome coverage prediction with infinite Markov models
Current position: Assistant Prof. at The Institute of Molecular Systems Biology at the ETH Zurich
Manfred Claassen, ETH Zurich, Switzerland; (Next position: PDF at Stanford University;
Proteome coverage prediction with infinite Markov models
Current position: Assistant Prof. at The Institute of Molecular Systems Biology at the ETH Zurich

ISMB 2010 - Boston
Keren Yizhak, Tel Aviv University, Israel
Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network mode
Current position: Assistant Professor at Technio, Israel Institute of Technology
Keren Yizhak, Tel Aviv University, Israel
Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network mode
Current position: Assistant Professor at Technio, Israel Institute of Technology

ISMB 2011 - Vienna
Sara Berthoumieux, INRIA, France
Identification of metaboloic network models from incomplete high-throughput datasets
Current position: Head of Data & IT at ENDODIAG, Paris, France, Paris, France
Sara Berthoumieux, INRIA, France
Identification of metaboloic network models from incomplete high-throughput datasets
Current position: Head of Data & IT at ENDODIAG, Paris, France, Paris, France

ISMB 2012 - Long Beach
Deniz Yorukoglu, Massachusetts Institute of Technology, United States
Dissect: Detection and Characterization of Novel Structural Alterations in Transcribed Sequences
Deniz Yorukoglu, Massachusetts Institute of Technology, United States
Dissect: Detection and Characterization of Novel Structural Alterations in Transcribed Sequences

ISMB 2013 - Berlin
Wyatt Clark, Indiana University, United States
Information-theoretic evaluation of predicted ontological annotations
Current position: Scientist I, Cellular Genetics, Research & Development, BioMarin Pharmaceuticals Inc., Novato, California
Wyatt Clark, Indiana University, United States
Information-theoretic evaluation of predicted ontological annotations
Current position: Scientist I, Cellular Genetics, Research & Development, BioMarin Pharmaceuticals Inc., Novato, California

ISMB 2014 - Boston
Andrey D. Prjibelski, St. Petersburg University of the Russian Academy of Sciences, Russia
ExSPAnder: a Universal Repeat Resolver for DNA Fragment Assembly
Current position: Postdoctoral Researcher, Department of Computer Science, Algorithmic Bioinformatics, University of Helsinki, Finland
Andrey D. Prjibelski, St. Petersburg University of the Russian Academy of Sciences, Russia
ExSPAnder: a Universal Repeat Resolver for DNA Fragment Assembly
Current position: Postdoctoral Researcher, Department of Computer Science, Algorithmic Bioinformatics, University of Helsinki, Finland

ISMB 2015 - Dublin
Farhad Hormozdiari, UCLA, United States
Identification of causal genes for complex traits
Current position: Research Scientist at Google Health
Farhad Hormozdiari, UCLA, United States
Identification of causal genes for complex traits
Current position: Research Scientist at Google Health

ISMB 2016 - Orlando
Yaron Orenstein, Massachusetts Institute of Technology, United States
RCK: accurate and efficient inference of sequence and structure-based protein-RNA binding models from RNAcompete data
Current position: Associate Professor of Computer Science and Life Sciences, Bar-Ilan University
Yaron Orenstein, Massachusetts Institute of Technology, United States
RCK: accurate and efficient inference of sequence and structure-based protein-RNA binding models from RNAcompete data
Current position: Associate Professor of Computer Science and Life Sciences, Bar-Ilan University

ISMB 2017 - Prague
Kymberleigh Pagel, Indiana University, United States
When loss-of-function is loss of function: Assessing mutational signatures and impact of loss-of-function genetic variants
Current position: Genomics Data Scientist, SpinSys, Baltimore, Maryland
Kymberleigh Pagel, Indiana University, United States
When loss-of-function is loss of function: Assessing mutational signatures and impact of loss-of-function genetic variants
Current position: Genomics Data Scientist, SpinSys, Baltimore, Maryland

ISMB 2018 - Chicago
Rani Powers, University of Colorado, Denver, United States
GSEA-InContext: Identifying novel and common patterns in expression experiments
Current position: Current position: Founder & CEO at Pluto, Denver, Colorado
Rani Powers, University of Colorado, Denver, United States
GSEA-InContext: Identifying novel and common patterns in expression experiments
Current position: Current position: Founder & CEO at Pluto, Denver, Colorado

ISMB 2019 - Basel
Torsten Gross, IRI Life Sciences, Humboldt University, Germany
Robust network inference using response logic
Torsten Gross, IRI Life Sciences, Humboldt University, Germany
Robust network inference using response logic

ISMB 2019 - Basel
Dinithi Sumanaweera, Monash University, Australia
Statistical Compression of Protein Sequences and Inference of Marginal Probability Landscapes over Competing Alignments using Finite State Models and Dirichlet Priors
Current position: Postdoctoral Research Fellow at Wellcome Sanger Institute
Dinithi Sumanaweera, Monash University, Australia
Statistical Compression of Protein Sequences and Inference of Marginal Probability Landscapes over Competing Alignments using Finite State Models and Dirichlet Priors
Current position: Postdoctoral Research Fellow at Wellcome Sanger Institute

ISMB 2020 - Virtual Conference
Yannik Schalte, Helmholtz Zentrum München, Technical University Munich, Institute of Computational Biology, Germany
Efficient exact inference for dynamical systems with noisy measurements using seqeuntial approximate Bayesian computation
Current position: Team leader, University of Bonn, Bonn, Germany
Yannik Schalte, Helmholtz Zentrum München, Technical University Munich, Institute of Computational Biology, Germany
Efficient exact inference for dynamical systems with noisy measurements using seqeuntial approximate Bayesian computation
Current position: Team leader, University of Bonn, Bonn, Germany

ISMB 2021 - Virtual Conference
Jamshed Khan, University of Maryland, United States
Cuttlefish: Fast, parallel, and low-memory compaction of de Bruijn graphs from large-scale genome collections
Jamshed Khan, University of Maryland, United States
Cuttlefish: Fast, parallel, and low-memory compaction of de Bruijn graphs from large-scale genome collections

ISMB 2022 - Madison, WI
Quentin Garrido, Université Gustave Eiffel, ESIEE Paris, LIGM, France
Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder
Quentin Garrido, Université Gustave Eiffel, ESIEE Paris, LIGM, France
Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder

ISMB 2023 - Lyon, France
Cassandra Burdziak, Memorial Sloan Kettering Cancer Center, United States
scKINETICS: inference of regulatory velocity with single-cell transcriptomics data
Cassandra Burdziak, Memorial Sloan Kettering Cancer Center, United States
scKINETICS: inference of regulatory velocity with single-cell transcriptomics data

ISMB 2024 - Montreal, Canada
Charlie Broadbent, Department of COmputer Science & Engineering, University of Minnesota, United States
Deciphering High-order Structures in Spatial Transcriptomes with Graph-guided Tucker Decomposition
Charlie Broadbent, Department of COmputer Science & Engineering, University of Minnesota, United States
Deciphering High-order Structures in Spatial Transcriptomes with Graph-guided Tucker Decomposition