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The Itinerary:<= /p>
10:00 am =E2=80=93 Opening Rem= arks
10:30 am =E2=80=93 = Computational Genomics
11:00 am =E2=80=93 Brain Circuit Modelling
11:30 am =E2=80=93 Whole Brain Modelling
12:00 to 1:00 pm =E2=80= =93 BREAK
Come chat with the KCNI PIs & trainees in our virtual space vi= a Gathertown (PW: KCNI)
1:05 pm =E2=80=93 Cognitive Network Modelling
1:35 pm =E2=80=93 Whole Person Modelling
2:05 pm - Artificial Intelligence and Digital H= ealth
2:20 pm =E2=80=93 BrainHealth Databank=
2:55 pm =E2=80=93 KCNI Education & Knowledg= e Transfer
3:05 to 3:25 =E2=80=93 BR= EAK
3:30pm to 4:30pm =E2=80=93 Panel Discussion
4:35 pm - Closing Remarks
Have more questions? Meet the KCNI PIs & trai= nees back in our virtual space via Gathertown&n= bsp;(PW: KCNI)
Want to hear more from the Krembil Centre for Neuroinformatics? = Subscribe to our mailing = list!
&n= bsp;Dr. David Goldbloom
Moderator
Dr. David Goldbloom is Senior Medical Advisor at CAMH and ma= intains an active clinical and teaching role. He is also a Professor of Psy= chiatry at the University of Toronto and serves as a Director of the CAMH F= oundation Board. He has authored numerous scientific articles and book chap= ters and has provided talks and lectures to student, professional and publi= c audiences. He is the editor of two textbooks in psychiatry and co-author = with Dr. Pier Bryden of the best-selling book How Can I Help? A Week in My = Life as a Psychiatrist. His most recent book, We Can Do Better: Urgent Inno= vations to Improve Mental Health Access and Care, was published in 2021. = span>
Dr. Stefan Kloiber
Clinician
Dr. Stefan Kloiber is a Psychiatrist and Clinician Scientist in th= e Mood and Anxiety Division and the Campbell Family Mental Health Research = Institute at the Centre for Addiction and Mental Health. He is Medical Head= of Mood and Anxiety Ambulatory Services at CAMH and Assistant Professor in= the Department of Psychiatry at the University of Toronto.
Dr. Kloiber=E2=80=99s research focuses on improving the treatment = of depression, bipolar disorder, and anxiety disorders by standardizing and= individualizing therapy through Integrated Care Pathways (ICPs) facilitati= ng implementation and evaluation of evidence-based treatment. He is interes= ted in biomarker research and by combining various strategies (genomics, ne= uroendocrinology, metabolomics, and psychophysiology), Dr. Kloiber aims to = detect individual biological signatures for prediction of treatment respons= e, prevention of adverse events, and biological subclassification of mood a= nd anxiety disorders.
Dr. Kloiber=E2=80=99s work includes the investigation of novel tre= atment approaches and biological systems through clinical studies in mood a= nd anxiety disorders.
Dr. Abigail Ortiz
Clinician
Dr. Abigail Ortiz is a Clinician Scientist and the Lead for Bipola= r Disorders in the Mood and Anxiety Service at CAMH. She is also an Assista= nt Professor in the Department of Psychiatry at the University of Toronto. = Dr. Ortiz=E2=80=99 research focuses on the use of mathematical modeling and= machine learning to understand mood regulation in bipolar disorder, with t= he goal of episode prediction. Her work has been funded by the National Ins= titutes of Mental Health (NIMH) and by the Canadian Institutes of Health Re= search (CIHR).
Dr. George Foussias
Clinician
Dr. George Foussias is a Clinician Scientist in the Campbell Famil= y Mental Health Research Institute and Associate Chief of the Schizophrenia= Division at CAMH. He heads the Virtual Reality and Behavioural Neuroscienc= e Research Laboratory at CAMH. He is also an Assistant Professor in the Dep= artment of Psychiatry and the Institute of Medical Science at the Universit= y of Toronto.
Dr. Foussias' research focuses on advancing our understanding and = treatment of motivational deficits and related negative symptoms, seen in s= evere mental illnesses. His approaches include longitudinal phenomenology a= nd outcome studies, psychopharmacology treatment trials, neuroimaging, and = the development of novel assessment methodologies using virtual reality, mo= tion-tracking technology, and computerized assessments to tap into real-wor= ld performance and functioning. The ultimate goal of this work is to guide = the development of more effective treatments for motivational deficits, whi= ch stand as an important barrier to functional recovery in severe mental il= lnesses.
Dr. Sean Hill
Scientific Director
Dr. Sean Hill is the Inaugural Director of the Krembil Centre for = Neuroinformatics, at the Centre for Addiction and Mental Health (CAMH) in T= oronto, Canada, and Professor in the Departments of Psychiatry and Physiolo= gy at the University of Toronto. He is also a Titular Professor at the =C3= =89cole polytechnique f=C3=A9d=C3=A9rale de Lausanne, Switzerland. Under Dr= . Hill=E2=80=99s leadership, the Krembil Centre for Neuroinformatics applie= s state-of-the-art data science, machine learning, and multi-scale computat= ional modeling to accelerate the diagnosis, prediction, and treatment of br= ain disorders. After completing his Ph.D. in computational neuroscience at = the Universit=C3=A9 de Lausanne, Dr. Hill held postdoctoral positions at Th= e Neurosciences Institute in La Jolla, California, and the University of Wi= sconsin, Madison. He then joined the IBM T.J. Watson Research Center, as Pr= oject Manager for Computational Neuroscience on the Blue Brain Project.&nbs= p;
Dr. Hill has served as a co-director of the Blue Brain Project, le= ading the Neuroinformatics division. He led the Neuroinformatics strategy a= nd platform development in the Human Brain Project (2013-2016). He has also= served as Executive Director (2011-2013) and Scientific Director (2014-201= 6) of the International Neuroinformatics Coordinating Facility at the Karol= inska Institutet in Stockholm, Sweden. Dr. Hill has extensive experience in= large-scale data integration, and building and simulating biophysically de= tailed models of brain circuitry. His research explores the principles unde= rlying the structure and dynamics of neocortical and thalamocortical microc= ircuitry across sleep and wakefulness in health and disease.
David Rotenberg
Director, Data Strategy and Busines= s Intelligence
Director, Operations =
David Rotenberg is the Director or Data Strategy & Business In= telligence at CAMH and the Operations Director in the Krembil Centre for Ne= uroinformatics at CAMH.
In his role as Director Data Strategy and Business Intelligence, D= avid is responsible for the management of clinical and research data assets= , and enterprise analytics infrastructure. As Operations Director for the K= rembil Centre for Neuroinformatics, David leads a team of informatics speci= alists with inter-disciplinary and cross-platform expertise, dedicated to s= upporting the Krembil Centre for Neuroinformatics and CAMH research program= s. The informatics operations team administers high-performance computing a= nd storage environments including the CAMH Neuroinformatics Platform, a sop= histicated multi-scale, multi-modal data management system, and an Artifici= al Intelligence computing platform.
Dr. Shreejoy Tripathy
Computational Genomics
Dr. Shreejoy Tripathy is an Independent Scientist in the Krembil C= entre for Neuroinformatics at CAMH. He is also an Assistant Professor in th= e Department of Psychiatry at the University of Toronto.
He completed his Post-Doc in Bioinformatics and Neuroinformatics a= t the University of British Columbia and received his Ph.D. in Neural Compu= tation from Carnegie Mellon University. He received his BSc in Biomedical E= ngineering from Johns Hopkins University.
Dr. Tripathy=E2=80=99s research aims to develop a multi-scale unde= rstanding of brain cell type diversity, bridging genetics and gene expressi= on with cell and circuit physiology. His lab develops machine learning and = statistical methods to help neuroscientists translate information at differ= ent levels of organization, from gene expression to neuron electrophysiolog= y. The long-term goals of this work are to better understand the cellular c= hanges that underlie psychiatric and neurological disorders and to ultimate= ly develop approaches that can help guide tailored treatments for mental he= alth.
Current major projects in his lab include: 1) understanding how si= ngle-cell gene expression determines features of neuronal electrophysiology= ; and 2) understanding how neuronal activity differs between people due to = different demographics and genetics.
Lab website: https://triplab.org/
Dr. Etay Hay
Brain Circuit Modelling
Dr. Etay Hay is an Independent Scientist at Krembil Centre for Neu= roinformatics, Centre for Addiction and Mental Health, and an Assistant Pro= fessor in the Department of Psychiatry and the Department of Physiology at = the University of Toronto. Dr. Hay=E2=80=99s research uses computational mo= dels of cortical microcircuits to study the mechanisms of brain processing = in health and mental disorders. Dr. Hay and his team integrate human cellul= ar, circuit, and gene-expression data to develop detailed computational mod= els of human cortical microcircuits in health, depression, and schizophreni= a. Hay lab uses the models to better understand the neuronal circuit mechan= isms of brain function and mental health, test in silico new pharmacology f= or treatment, and identify high-resolution biomarkers in clinically relevan= t brain signals to improve the diagnosis and monitoring of mental health.= span>
Lab website: https://www.haybrainlab.com/
= p>
Dr. John Griffiths
Whole Brain Modelling
Dr. John Griffiths is an Independent Scientist and Head of Whole B= rain Modelling in the Krembil Centre for Neuroinformatics where he leads a = team focused on whole-brain and multi-scale neurophysiological modelling. H= e is also an Assistant Professor in the University of Toronto Department of= Psychiatry. Dr. Griffiths obtained his Ph.D. in Cognitive Neuroscience fro= m the University of Cambridge, and subsequently held postdoctoral positions= at the University of Sydney School of Physics, and then in Toronto at the = Rotman Research Institute (Baycrest Hospital) and Krembil Research Institut= e (UHN Toronto Western Hospital)
In the Whole Brain Modelling Group at the Krembil Centre for Neuro= informatics (KCNI), we take a =E2=80=9Cbird=E2=80=99s-eye=E2=80=9D approach= to understanding brain organization and how it is affected in neuropsychia= tric and neurological disease. We work extensively with structural and func= tional neuroimaging data (sMRI, fMRI, DWI, MEG, EEG), employing the latest = cutting-edge analysis methods to study connectivity, oscillations, and thei= r modification by brain stimulation (esp. TMS) and drugs.
This information is used to construct and constrain computational = models of brain dynamics that combine mesoscale mathematical descriptions o= f neural population activity with whole-brain network structure. This frame= work strikes a balance between granularity (level of physiological detail) = and coverage (number of brain regions included), that is well-matched to th= e type of information that can be obtained from modern in-vivo neuroimaging= techniques. Together with colleagues in the KCNI microcircuit modelling an= d computational genomics groups, we are also developing multi-scale modelli= ng approaches that bridge cellular-level and population-level descriptions = of neural activity. Our long-term goal is the development of simultaneously= detailed and holistic in-silico computational and theoretical accounts of = brain function, cognition, and their pathologies.
Lab website: https://www.grifflab.com/
Dr. Andreea Diaconescu
Cognitive Network Modelling
Dr. Andreea Diaconescu is an Independent Scientist at the Krembil = Centre for Neuroinformatics at CAMH. Dr. Diaconescu is also an Assistant Pr= ofessor in the Department of Psychiatry at the University of Toronto with c= ross-appointments with the Institute of Medical Science and the Department = of Psychology at the University of Toronto.
Before this, she has been an SNF Ambizione fellow and Junior Group= Leader at the University in Basel, Department of Psychiatry leading a proj= ect on early detection and treatment of psychosis using mathematical modell= ing. After completing her Ph.D. in Cognitive Neuroscience at the Rotman Res= earch Institute, University of Toronto, Dr. Diaconescu held a postdoctoral = position at the Translational Neuromodeling Unit, University of Zurich and = ETH Zurich. There, she developed and applied (neuro)computational models of= learning and decision-making to understand the emergence and persistence o= f delusions in psychoaffective disorders such as schizophrenia.
Dr. Diaconescu has developed and validated mathematical models tha= t infer subject-specific disturbances of information processing in neuronal= circuits from neuroimaging, electrophysiological, and behaviour measures. = She also has expertise in whole-brain, multimodal neuroimaging analysis met= hods. Dr. Diaconescu has applied these computational methods to address sub= stantive clinical problems in psychiatry, in particular, early detection of= psychosis and treatment response prediction in first-episode psychosis.
Lab website: https://cognemo.com/
= p>
Dr. Daniel Felsky
Whole Person Modelling
Dr. Daniel Felsky is an Independent Scientist and Head of Whole Pe= rson Modelling in the Krembil Centre for Neuroinformatics at CAMH. He is al= so an Assistant Professor in the Department of Psychiatry and Dalla Lana Sc= hool of Public Health at the University of Toronto.
Dr. Felsky completed his Ph.D. in neuroimaging and genetics of Alz= heimer=E2=80=99s disease at CAMH in 2015. Following this, Dr. Felsky comple= ted postdoctoral fellowships at the Anne Romney Center for Neurologic Disea= ses at Brigham and Women=E2=80=99s Hospital, Harvard Medical School, in Bos= ton, and the Centre for Translational and Computational Neuroimmunology at = Columbia University Medical Centre in New York. As a postdoctoral fellow, D= r. Felsky studied the genetic links between central and peripheral immune d= iseases and the morphology of the brain=E2=80=99s resident immune cells, mi= croglia. While in Boston and New York, Dr. Felsky collaborated closely with= investigators at Rush University Medical Centre in Chicago, publishing the= first genome-wide study of microglial activation in humans.
Dr. Felsky=E2=80=99s current research program is focused on the in= tersection of heritable and environmental risk for mental illness across th= e lifespan, and on modelling risk and prognosis as a product of all-cause f= actors using machine learning.
Lab website: https://www.felskylab.com/
Dr. Abhishek Pratap
Artificial Intelligence & Digit= al Health
Dr. Abhishek Pratap is new to the KCNI team as an Independent Scie= ntist and leads the Artificial Intelligence and Digital Health group. He ul= timately wants his research at KCNI to help improve our understanding of wh= at mental health assessment and mediation mechanisms work for whom, when, a= nd for how long to help improve long-term outcomes.
Before joining CAMH/KCNI, Dr. Pratap was a Principal Scientist at = Sage Bionetworks (a nonprofit research organization in Seattle, USA). Abhi = has over 10 years of experience in biomedical informatics research. At Sage= , he led the scientific design, development, and deployment of several real= -world digital health studies that assessed personalized lived experiences = in neurological and psychiatric diseases.
His current research focuses on the development, verification, and= validation of fit-for-purpose real-world digital endpoints related to ment= al and neurological diseases using machine learning/AI approaches. He is al= so interested in the assessment of potential biases in gathering health dat= a in an uncontrolled real-world setting. To do so, Dr. Pratap has collabora= ted with various stakeholders in the academic, pharmaceutical, and technolo= gy industries to highlight empirical challenges and potential solutions. So= me of his recent/on-going projects include 1) Predicting real-world tempora= l risk factors of self-harm/suicide, 2) Mobile Toolbox - to assess cognitiv= e functioning using smartphones, 3) Global Mental Health Databank - a pilot= project to assess the feasibility of collecting mental health data from yo= uth globally, and 4) Design of a digital mood assessment app protocol to fi= t the needs of a diverse NIH=E2=80=99s AllofUSTM research participant cohor= t.
Dr. Joanna Yu
BrainHealth Databank
Dr. Joanna Yu is the Senior Portfolio Manager for the BrainHealth = Databank in the Krembil Centre for Neuroinformatics at CAMH. She is passion= ate about driving system change to promote collaborative and interdisciplin= ary research to accelerate discovery and improve mental health outcomes. Af= ter completing her Ph.D. in molecular genetics at the University of Toronto= , investigating the molecular mechanisms of mental health, Dr. Yu joined th= e Research and Informatics team at the Ontario Brain Institute. There, she = managed multidisciplinary clinical research programs and the implementation= of the Brain-CODE neuroinformatics platform. She went on to manage r= esearch at the Centre for Depression and Suicide Studies at St. Michael=E2= =80=99s Hospital, where she led the Canadian Biomarker Integrated Network f= or Depression (CAN-BIND) neuroinformatics team.
Dr. Yu=E2=80=99s current work at the Krembil Centre focuses on est= ablishing the CAMH BrainHealth Databank - an open =E2=80=9Cdatabank=E2=80= =9D of accumulated patient data and biosamples to inform new research and i= mprove care. As a collaborative scientist, she is working in partnership wi= th groups across CAMH =E2=80=93 clinicians, scientists, patients and famili= es, information management, privacy, legal and ethics - to design and imple= ment core infrastructure that enables digital measurement-based care, the i= ntegration of research measures with care pathways, artificial intelligence= , and personalized care, and open science for discovery and innovation.&nbs= p;
She is a speaker at conferences and science events, particularly e= ncouraging young women in STEAM, and she currently sits on the Science Rend= ezvous Board of Directors.
BrainHealth Databank website: https://www.camh.ca/en/science-and-research/disc= overy-fund/brainhealth-databank
Dr. Erin Dickie
Education & Knowledge Transfer<= /strong>
Dr. Erin W. Dickie, BSc, MSc, PhD is an Early Career Scientist in = the Kimel Family Translational Imaging-Genetics Laboratory and the Krembil = Centre for Neuroinformatics at the Centre for Addiction and Mental Health. = She is also an Assistant Professor in Psychiatry at the University of Toron= to.
Dr. Dickie=E2=80=99s research aims to bridge the fields of Neuroin= formatics and Psychiatry, for the benefit of people living with mental heal= th disorders. As an early-career investigator, she studies brain connectivi= ty with people with complex brain disorders (i.e. Autism and Schizophrenia = Spectrum Disorders) using Magnetic Resonance Imaging (MRI). At CAMH, her te= am provides the neuroinformatics infrastructure to support the organization= , quality assurance, and preprocessing for MR scans from over 3000 particip= ants being collected from over 27 studies on 23 MR scanners across North Am= erica. She leads and contributes to open software development for MR image = management and preprocessing, working with local national and international= teams (i.e. the ciftify project, the Brain Imaging Data Structure (BIDS) c= ontributors, and the Canadian Open Neuroscience Platform). Her research is = supported by the CAMH Foundation, the Brain and Behavior Research Foundatio= n, the USA National Institute for Mental Health, and the Canadian Institute= for Health Research.
Dr. Dickie holds a BSc from Western University and a Ph.D. in Neur= oscience from McGill University. She completed post-doctoral fellowships at= Baycrest and SickKids Hospitals in Toronto.