Babak Shahbaba
researcher
Facts
9 properties- Instance of
- human
- Occupation
- researcher
- Educated at
- University of Toronto[2]
- Award received
- Fellow of the American Statistical Association[4]
- Doctoral advisor
- Radford M. Neal[3]
- Doctoral student
- Andrew Holbrook[7]
- Member of
- American Statistical Association (2022–present)[5]
🏷️ Also known as
en Babak Shahbaba
🔖 Identifiers · 11
- ISNI
- 0000000369970649
- ORCID iD
- 0000-0002-8102-1609
- VIAF cluster ID
- 234831967
- Library of Congress Authorities ID
- ns2012001540
- DBLP author ID
- 29/2863
- GitHub account
- babaks
- Google Knowledge Graph ID
- /g/11f0y7fnk7
- Google Scholar author ID
- t0-BrIMAAAAJ
- J9U entity ID
- 987007371924605171
- MR Author ID
- 827631
- Yale LUX ID
- person/29d1691a-99b6-4b39-9871-5a26a18bde54
🔗 Connections
Author of 13
A Bayesian supervised dual‐dimensionality reduction model for simultaneous decoding of LFP and spike train signals,
A Dynamic Bayesian Model for Characterizing Cross-Neuronal Interactions During Decision-Making,
An efficient Bayesian inference framework for coalescent-based nonparametric phylodynamics,
A refined cell-of-origin classifier with targeted NGS and artificial intelligence shows robust predictive value in DLBCL,
Evolutionary State-Space Model and Its Application to Time-Frequency\n Analysis of Local Field Potentials,
Flexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices,
Hamiltonian Monte Carlo acceleration using surrogate functions with random bases,
Optimal experimental design for mathematical models of haematopoiesis
+5 more
← Authored by 13
A Bayesian supervised dual‐dimensionality reduction model for simultaneous decoding of LFP and spike train signals,
A Dynamic Bayesian Model for Characterizing Cross-Neuronal Interactions During Decision-Making,
An efficient Bayesian inference framework for coalescent-based nonparametric phylodynamics,
A refined cell-of-origin classifier with targeted NGS and artificial intelligence shows robust predictive value in DLBCL,
Evolutionary State-Space Model and Its Application to Time-Frequency\n Analysis of Local Field Potentials,
Flexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices,
Hamiltonian Monte Carlo acceleration using surrogate functions with random bases,
Optimal experimental design for mathematical models of haematopoiesis
+5 more
Affiliated with 5
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Summary
Babak Shahbaba worked as a researcher[1].
FAQs
What did Babak Shahbaba do for work?
Babak Shahbaba worked as researcher[1].
Where did Babak Shahbaba go to school?
Babak Shahbaba was educated at University of Toronto[2].
What awards did Babak Shahbaba receive?
Honors received include Fellow of the American Statistical Association[4].