Laxmi Parida, IBM Watson Research Center, Yorktown Heights, NY, USA
Daniele Merico, The Centre for Applied Genomics (TCAG), Toronto (ON), Canada
Jim Schaff, Center for Cell Analysis & Modeling, University of Connecticut Health Center, Farmington, CT, USA
Laxmi is leading the Computational Genomics Group in the Computational Biology Center at the IBM T, J. Watson and a visiting professor at the Courant Institute of Mathematical Sciences, New York. She received her Ph.D. in the area of Computational Genomics from New York University in 1998 and received the Janet Fabri Award for an outstanding thesis in computer science. She is also a recipient of the Sandra Belestein award for notable achievement in mathematical and computer science by a woman. She has authored over hundred research papers, and holds several patents related to her algorithmic work. Her professional activities include organizing/chairing leading conferences in the area of computational biology and computer science; advisory board membership of computer science departments; evaluation panels of NIH/NSF bodies, amongst others. Her research has focused on algorithmics and statistics in the area of computational genomics. Her research monograph “Pattern discovery in Bioinformatics: Theory and Algorithms” on her contributions to the field juxtaposed with the latest developments in this area, was published by Chapman Hall in August, 2007 (the book has been on the computer science best selling list since its publication).
Daniele Merico received his Bachelor's degree in Molecular Biotechnology and his Master's degree in Bioinformatics from Universita di Milano-Bicocca (2003 and 2005, respectively). He then received his Molecular and Cellular Biology PhD from Universita di Milano (2009).
Daniele Merico was a post-doctoral fellow under the supervision of Drs. Gary D. Bader and Andrew Emili (Donnelly Centre, University of Toronto, Toronto, Canada) from 2009 to 2011. His post-doctoral activity focused on pathway and network analysis of gene expression microarray and proteomics data applied to cardiomiopathy and tumor mouse models.
Since 2011, Daniele Merico manages the bioinformatics core facility at TCAG (The Centre for Applied Genomics, Hospital for Sick Children, Toronto, Canada), under the direction of Dr. Stephen W. Scherer. As a core facility manager, he is responsible for the next generation sequencing (NGS) analysis pipelines, including human whole exome and whole genome resequencing and variant annotation, RNA-seq, ChIP-seq, methyl-seq, de-novo transcriptome and genome assembly. His current research interests are focused on genome annotation for clinical applications, disease gene discovery for rare disorders, as well as pathway/network analysis of rare genetic variants in autism and schizophrenia.
Daniele Merico has authored or co-authored 18 peer-reviewed Pubmed-indexed journal articles, 3 peer-reviewed journal articles indexed by other services, as well as 4 peer-reviewed articles published as conference proceedings.
My research interests center on the development of abstractions, formalisms and numerical methods in biological modeling and simulatoin. I am the founding developer of the Virtual Cell project and currently lead our software development group.
We are also developing a suite of tools for the quantitative analysis of microscopy experiments which transparently leverage VCell technologies. The Virtual FRAP (VFRAP) tools is the first of these application, and facilitates the analysis of FRAP (Fluorescence Redistribution After Photobleaching) experiments.
I have been involved in the development of SBML from its inception and now serve as one of the SBML editors. Currently I am working toward the development of an SBML Level 3 extension for spatial modeling.
For information: Prof.ssa Paola Bonizzoni email@example.com