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The Krembil Centre for Neuroinformatics at CAMH || Looking for more? Email us at krembil.centre@camh.ca
Find out when our team has speaking engagements at conferences, events, talks or hosting work shops below.
All times listed in EST.
DATE:
EVENT DETAILS / TOPIC:
SPEAKER(S):
Tuesday, October 20, 2020 at 12 to 1pm
CAMH Trainee Seminar Series: This CAMH seminar series is an opportunity to learn about the work of research trainees across CAMH. Talks will resume on Sept. 8, and be held every second Tuesday from 12-1 pm.
Topic: Predicting post-treatment MDD symptom severity based on topic modelling features from psychiatric notes
Zoom link
Dr. Marta Maslej, post-doctoral fellow of Dr. Sean Hill
Wednesday, October 21, 2020 at 9 to 10am
Adeel Ansari, Knowledge Engineering Lead
Wednesday, October 28, 2020 at 9:30 to 12:30pm
Fairness and Equity Workshop: The proposed workshop will explore the ways that bias “gets baked into” our data and models at five different stages of the research cycle: 1) Research Design; 2) Data Collection; 3). Data Editing and Analysis; 4) Model Construction and Validation; 5) Knowledge Translation and Exchange.
Key objectives of this workshop are to identify potential sources of bias in our own research, and promote best practices in the field and among our peers.
This workshop is FULL - Sign up for Nov 4!
Dr. Laura Sikstrom is a CIHR Health System Impact Fellow and Lecturer in the Department of Anthropology at the University of Toronto. Her ongoing teaching and research engages with the intersection between evidence based medicine, health equity and social justice. Her current project is an institutional ethnography of fairness at CAMH.
Wednesday, October 28, 2020 at10 to 11:30am
Marcos Sanches, Biostatistician
Wednesday, November 4, 2020 at 9:30 to 12:30pm
Fairness and Equity Workshop: The proposed workshop will explore the ways that bias “gets baked into” our data and models at five different stages of the research cycle: 1) Research Design; 2) Data Collection; 3). Data Editing and Analysis; 4) Model Construction and Validation; 5) Knowledge Translation and Exchange.
Key objectives of this workshop are to identify potential sources of bias in our own research, and promote best practices in the field and among our peers.
Register here
Dr. Laura Sikstrom is a CIHR Health System Impact Fellow and Lecturer in the Department of Anthropology at the University of Toronto. Her ongoing teaching and research engages with the intersection between evidence based medicine, health equity and social justice. Her current project is an institutional ethnography of fairness at CAMH.
Wednesday, November 4, 2020 at 3 to 3:40pm
Dr. Sean Hill, Director of the Krembil Centre for Neuroinformatics will deliver a talk on transforming mental health care through new approaches to gathering data inside and outside the clinic, providing next generation AI decision support to clinicians, and constructing multi-scale computational models that integrate genomics, cells and circuits, whole brain dynamics, cognitive networks and whole person level data.
Thursday, November 26, 2020 at 6:30 to 7:30pm
OBI Public Talk - Brain-CODE/Data Sharing
Twitter: https://bit.ly/3emWCLh
LinkedIn: https://bit.ly/3eqtsv4
Facebook: https://bit.ly/3kTj1Tb
Register here
Dr. Sean Hill, Director of the Krembil Centre for Neuroinformatics will deliver a talk on transforming mental health care through new approaches to gathering data inside and outside the clinic, providing next generation AI decision support to clinicians, and constructing multi-scale computational models that integrate genomics, cells and circuits, whole brain dynamics, cognitive networks and whole person level data.
Thursday, December 10, 2020 at 4 to 5pm
University of Toronto Seminar Series for Physiology
Event details: TBC.
Dr. Sean Hill, Director of the Krembil Centre for Neuroinformatics will deliver a talk on transforming mental health care through new approaches to gathering data inside and outside the clinic, providing next generation AI decision support to clinicians, and constructing multi-scale computational models that integrate genomics, cells and circuits, whole brain dynamics, cognitive networks and whole person level data.
Thursday, December 10, 2020 at 10 to 11:30am
KCNhub Event
TOPIC: Hierarchical Bayesian inference underpins human social learning
Zoom link
Meeting ID: 896 8176 7784
Passcode: 593617
Dr Andreea Diaconescu is an Independent Scientist at the Krembil Centre for Neuroinformatics (CAMH) and Assistant Professor in the Department of Psychiatry at the University of Toronto.
Andreea completed her PhD in Cognitive Neuroscience with Prof. Randy McIntosh at the Rotman Research Institute (University of Toronto). Following her PhD training, she held a postdoctoral position at the Translational Neuromodeling Unit (University of Zurich and ETH Zurich). Under the supervision of Prof. Klaas Enno Stephan, she developed, validated, and applied hierarchical Bayesian models of social learning and decision-making to examine persecutory ideation in early psychosis. Andreea has recently been supported by the Swiss National Foundation at the University in Basel in the Department of Psychiatry to lead a project on early detection of psychosis using computational models of persecutory delusions fit to behaviour and neuroimaging (EEG and fMRI) data.
At the Krembil Centre for Neuroinformatics, Andreea focuses on neurocomputational models of suicidal ideation in psychoaffective disorders.
Tuesday, December 15, 2020 at 12 to 1pm
CAMH Trainee Seminar Series: The CAMH research trainee seminars are back! This seminar series is an opportunity to learn about the work of research trainees across CAMH. Talks will resume on Sept. 8, and be held every second Tuesday from 12-1 pm.
Topic: MRI-based subtyping of depression in the UK Biobank
Zoom link
Dr. Michael Wainberg, post-doc of Dr. Shreejoy Tripathy
Thursday, January 28, 2021 at 11 to 12pm
Tübingen Neuro Campus (TNC) Virtual talk
Event details: Zoom TBC
Dr. Sean Hill, Director of the Krembil Centre for Neuroinformatics will deliver a talk on transforming mental health care through new approaches to gathering data inside and outside the clinic, providing next generation AI decision support to clinicians, and constructing multi-scale computational models that integrate genomics, cells and circuits, whole brain dynamics, cognitive networks and whole person level data.
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DATE:
EVENT DETAILS / TOPIC:
SPEAKER(S):
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