“Baisong is one of the most talented, dedicated, and personable collaborators I’ve had the pleasure to work with. He is an enthusiastic and dynamic team member, asking questions to better understand the science, and showing leadership in offering innovative quantitative solutions to complex statistical, data science, programming, and program management issues. I’ve seen him dutifully doing his own research to better understand a scientific problem at hand, and have witnessed teams changing strategy based on his observant and informed recommendations. Besides his wealth of experience in statistics and drug development across a range of modalities and disease areas, Baisong is also incredibly pleasant to work with, having a charismatic personality, and earning and inspiring trust and confidence in his leadership within a team. I would recommend him without reservation as a superb scientist, statistician, and team leader. ”
About
• 10+ years in clinical research and drug development
• 5+ years in gene and cell…
Activity
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Excited to share that AstraZeneca was included in the Forbes Net Zero Leaders List for 2024! This accomplishment acknowledges the top 100 companies…
Excited to share that AstraZeneca was included in the Forbes Net Zero Leaders List for 2024! This accomplishment acknowledges the top 100 companies…
Liked by Baisong Huang
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Earlier this month, Biometrics members of Sarepta Therapeutics gathered together in Cambridge, MA for a week of robust discussion, knowledge-sharing,…
Earlier this month, Biometrics members of Sarepta Therapeutics gathered together in Cambridge, MA for a week of robust discussion, knowledge-sharing,…
Liked by Baisong Huang
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Steven Criscione will be speaking at the Festival of Genomics & Biodata in Boston next week, discussing new therapeutic vulnerability in EGFR…
Steven Criscione will be speaking at the Festival of Genomics & Biodata in Boston next week, discussing new therapeutic vulnerability in EGFR…
Liked by Baisong Huang
Experience
Education
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Activities and Societies: Goden Key International Honour Society; University of Toronto Scarborough College Repertoire Choir;
Highly ranked student. Graduated with high distinction. On dean's list for consecutive years. Recipient of multiple academic merit based scholarships.
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HMX Fundamentals is a 10-week online program from Harvard Medical School. I earned a Certificate of Achievement in Immunology
Licenses & Certifications
Volunteer Experience
Publications
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mTOR inhibition improves immune function in the elderly
Science, Translational Medicine
Inhibition of the mammalian target of rapamycin (mTOR) pathway extends life span in all species studied to date, and in mice delays the onset of age-related diseases and comorbidities. However, it is unknown if mTOR inhibition affects aging or its consequences in humans. To begin to assess the effects of mTOR inhibition on human aging-related conditions, we evaluated whether the mTOR inhibitor RAD001 ameliorated immunosenescence (the decline in immune function during aging) in elderly…
Inhibition of the mammalian target of rapamycin (mTOR) pathway extends life span in all species studied to date, and in mice delays the onset of age-related diseases and comorbidities. However, it is unknown if mTOR inhibition affects aging or its consequences in humans. To begin to assess the effects of mTOR inhibition on human aging-related conditions, we evaluated whether the mTOR inhibitor RAD001 ameliorated immunosenescence (the decline in immune function during aging) in elderly volunteers, as assessed by their response to influenza vaccination. RAD001 enhanced the response to the influenza vaccine by about 20% at doses that were relatively well tolerated. RAD001 also reduced the percentage of CD4 and CD8 T lymphocytes expressing the programmed death-1 (PD-1) receptor, which inhibits T cell signaling and is more highly expressed with age. These results raise the possibility that mTOR inhibition may have beneficial effects on immunosenescence in the elderly.
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The multiplicity problem in linkage analysis of gene expression data – the power of differentiating cis- and trans-acting regulators
BMC Proc.
In this report, we focused on the multiplicity issue in Problem 1 of Genetic Analysis Workshop 15. We investigated and compared the performance of the stratified false-discovery rate control method with the traditional aggregated approach, in an application to genome-wide linkage analyses of single-nucleotide polymorphism-to-gene expression data. We showed the importance of utilizing the available map information and demonstrated the power gained by conducting false-discovery rate control…
In this report, we focused on the multiplicity issue in Problem 1 of Genetic Analysis Workshop 15. We investigated and compared the performance of the stratified false-discovery rate control method with the traditional aggregated approach, in an application to genome-wide linkage analyses of single-nucleotide polymorphism-to-gene expression data. We showed the importance of utilizing the available map information and demonstrated the power gained by conducting false-discovery rate control separately for cis and trans regulators under three different frameworks: fixed rejection region, fixed false-discovery rate, and fixed number of rejections.
Other authorsSee publication
Courses
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Advanced Statistical Design & Analysis
CHL5208Y
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Analysis of Case-Control, Cohort, and Other Epidemiologic Data
EPI204
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Applied Multivariate Statistics
STA437H1
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Applied Regression for Clinical Research
BIO213
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Categorical Data Analyiss
CHL5210H
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Computer Networks
CSC458H1
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Computer Organizatn
CSC258H1
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Data Structures and Algorithm Analysis
CSCC78H3
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Design and Monitoring of Adaptive Clinical Trials
BIO276
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Direct Reading: Statistical Methods for Genomics and Bioinformatics
CHL7001H
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Discrete Mathematics in Computer Science
CSC238H1
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Entrepreneurship in Healthcare IT and Services
HBS1666
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Epidemiologic Methods 2
EPI202
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Epidemiologic Methods in Health Services Research
EPI235
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Epidemiologic Methods in Patient Safety & Quality
EPI209
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Experimental Design
STA332H1
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Fundamentals of Data Structure & Technology
CSC270H1
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Fundamentals of Epidemiology
EPI500
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Genetic Computational Methods
STA4315H
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Introduction to Computer Programmin
CSCA06H3
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Introduction to Computer Science
CSCA58H3
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Introduction to Databases
CSC343H1
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Introduction to Economics: A Mathematical Approach
ECMA02Y3
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Introduction to Mathematical Statistics
STA352Y1
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Introduction to Probability Theory and Mathematical Statistics
STAB47H3
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Introduction to Public Health Sciences
CHL5004H
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Lifetime Data Models
STA2209H
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Linear & Longitudinal Regression
BIO501
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Longitudinal Data Analysis
CHL5222H
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Mathematical Statistics I, II
STA2112H, STA2212H
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Models for Causal Inference
EPI289
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Pathology for Epidemiologists
EPI508
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Principles of Clinical Trials
BIO214
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Principles of Programming Languages
CSCC24H3
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Principles of Toxicology
EH504
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Probability I
STA347H1
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Probability Theory I, II
STA2111H, STA2211H
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Probabilty & Statatistics II
STA261H1
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Public Health Leadership Skills
HPM245
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Regression Analysis
STA302H1
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Sample Survey Design
STA322H1
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Software Tools & System Programming
CSC209H1
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Statistical Computing
STA410H1
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Statistical Consulting
STA2453H
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Statistical Genetics
CHL5224H
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Statistical Inference I
STA2162H
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Statistics in Clinical Trials
CHL5225H
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Stochastic Processes
STA447H1
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Study Design in Epidemiologic Research
EPI203
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Survival Methods in Clinical Research
BIO224
Projects
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Genome Canada II & III CFTR Modifier Genes Study
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Worked in groups to perform various statistical analyses on the Cystic Fibrosis (CF) modifier gene study to determine the role of the cystic fibrosis transmembrane conductor regulator (CFTR) gene and cystic fibrosis (CF) modifiers in selected disease models that possess phenotypic similarities to CF. Conducted a candidate modifier gene association analysis, with a cohort of 2500 CF patients, for candidates identified in other studies or through the pathways of other diseases which share…
Worked in groups to perform various statistical analyses on the Cystic Fibrosis (CF) modifier gene study to determine the role of the cystic fibrosis transmembrane conductor regulator (CFTR) gene and cystic fibrosis (CF) modifiers in selected disease models that possess phenotypic similarities to CF. Conducted a candidate modifier gene association analysis, with a cohort of 2500 CF patients, for candidates identified in other studies or through the pathways of other diseases which share clinical similarity to the certain features of CF. Planned and conducted a genome-wide association scan, a genome-wide linkage study as well as a family-based association study in over 250 nuclear families with more than one CF siblings
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Honors & Awards
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Fusion Team Award
Novartis Institutes for BioMedical Research
Improvise and reduce bureaucracy, Accountable and effective teamwork, Fostering Inclusion/Valuing Difference, Dynamic and open collaboration
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Star Award
Novartis Institutes for BioMedical Research
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Spotlight Award
Novartis Institutes for BioMedical Research
Improvise and reduce bureaucracy, Accountable and effective teamwork, Dynamic and open collaboration
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Team Award
Novartis Institutes for BioMedical Research
Improvise and reduce bureaucracy, Strategic thought, Tap existing organizational knowledge, Accountable and effective teamwork, Courageous Decision-Making and Risk taking, Dynamic and open collaboration
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Spotlight Award
Novartis Institutes for BioMedical Research
Improvise and reduce bureaucracy, Strategic thought
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iCARE Award for Accountability
McKesson Corp.
For being guided by a common set of values: integrity, customer-first, accountability, respect and excellence
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Provincial Research Excellence Award
Provincial Government of Ontario
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Harold Willett Stewart Memorial Scholarship
University of Toronto
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Dr. James A. & Connie P. Dickson Scholarship in the Sciences & Mathematics
University of Toronto
Languages
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English
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Organizations
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International Genetic Epidemiology Society
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- Present
Recommendations received
7 people have recommended Baisong
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At AstraZeneca, our diverse portfolio of medicines is designed with cancer’s complexity in mind, with focus on future combination therapies that…
At AstraZeneca, our diverse portfolio of medicines is designed with cancer’s complexity in mind, with focus on future combination therapies that…
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This week across AstraZeneca Oncology R&D we are offering a week focused to Learning & Development including sessions on Building Your IDP…
This week across AstraZeneca Oncology R&D we are offering a week focused to Learning & Development including sessions on Building Your IDP…
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I’m happy to share that I’m promoted as Senior Director, Procurement - TechOps, CMC and Quality at Sarepta Therapeutics!
I’m happy to share that I’m promoted as Senior Director, Procurement - TechOps, CMC and Quality at Sarepta Therapeutics!
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Glad after months of preparations, the ISBS symposium finally kicked off today. Hope everyone likes the program, enjoys the close interactions and…
Glad after months of preparations, the ISBS symposium finally kicked off today. Hope everyone likes the program, enjoys the close interactions and…
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Excellent collaboration through the working group. Thanks Jie for the leadership and visions!
Excellent collaboration through the working group. Thanks Jie for the leadership and visions!
Liked by Baisong Huang
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Today, we announced the expansion of our US manufacturing footprint with a new facility in Rockville, MD to launch our life-saving cell therapy…
Today, we announced the expansion of our US manufacturing footprint with a new facility in Rockville, MD to launch our life-saving cell therapy…
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