Sichen (Coco) Liu
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Sichen (Coco) Liu Email & Phone Number

Research Statistician at Precision AQ
Location: Vancouver, British Columbia, Canada 7 work roles 2 schools
1 work email found @cytel.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Current company
Role
Research Statistician
Location
Vancouver, British Columbia, Canada
Company size

Who is Sichen (Coco) Liu? Overview

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Quick answer

Sichen (Coco) Liu is listed as Research Statistician at Precision AQ, a with 1156 employees, based in Vancouver, British Columbia, Canada. AeroLeads shows a work email signal at cytel.com and a matched LinkedIn profile for Sichen (Coco) Liu.

Sichen (Coco) Liu previously worked as Research Statistician at Precisionheor and Research Consultant - RWE at Cytel. Sichen (Coco) Liu holds Master Of Science - Ms, Statistics, 3.86/4.33 from Simon Fraser University.

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sliu@cytel.com
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Profile bio

About Sichen (Coco) Liu

A highly motivated and experienced statistician by training with extensive practical experience in Real World Evidence/Analytics (RWE/RWA), a strong background in causal inference, survival analysis, quantitative bias assessment, Shiny R dashboard, and high-throughput genomic data, and a passion for machine learning and computational biology. Seeking to develop innovative solutions for precision medicine and contribute to the advancement of healthcare with statistical learning.

Listed skills include Mathematics, R Shiny, Gtool, Powerpoint, and 26 others.

Current workplace

Sichen (Coco) Liu's current company

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Precision AQ
Precision Aq
Research Statistician
Vancouver, BC, CA
Website
Employees
1156
AeroLeads page
7 roles

Sichen (Coco) Liu work experience

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Research Statistician

Vancouver, British Columbia, Canada

- Inverse probability treatment weighting (IPTW) adjusted treatment effectiveness analysis with IPD to IPD data up to 4 comparator arms.- Network Meta-Analysis (NMA) with fixed and random effects model up to 15 comparator arms.- Matching adjusted indirect comparison (MAIC) for comparing IPD to aggregated data in 5 different comparator arms.- Utility mapping for EORTC QLQ-C30 data to ED-5D-3L or EQ-5D-5L with country-specific tariffs.

Research Consultant - Rwe

Vancouver, British Columbia, Canada

2022 Cytel Spotlight Award recipientCausal Inference:- Constructed inverse probability weights for marginal structural models (MSM) to obtain double inverse-weighted estimation of cumulative treatment effects for longitudinal studies to account for treatment switching and dependent censoring. - Performed propensity score analysis (PSA) with different estimands ATT, ATE, ATO, and weighting/matching such as nearest neighbour matching, cardinality matching, inverse probability treatment weighting (IPTW) on clinical trial arm and synthetic control arm (SCA) to reduce bias by adjusting for baseline confounders to reach covariate balance. Shiny Web Applications:- Updated and integrated new features to UI and Server on Shiny Apps including methods and calibrations for propensity score matching and weighting, displaying model estimates and plots, checking model assumptions, performing sensitivity analysis, rendering analyses results with Rmarkdown as HTML files, and implementing meta-analysis and subgroup analysis. Deploy Shiny apps for internal and client use. Sensitivity Analysis:- Implemented Quantitative Bias Analysis (QBA) to assess the sensitivity in missing value imputation with shifts in randomness assumptions, and to estimate E-values for assessing the strength of unmeasured confounders. Clustering Analysis;- Led the execution of the analysis with application to Group-Based Trajectory Modelling for group assignment in clinical trial data by tuning a reasonable range of potential clusters and degrees of polynomials using the EM algorithms, and selecting the optimal setting that minimizes the AIC/BIC.Project Management:- Drafted SAP/protocol, slide decks, guidelines, technical reports, manuscripts, and coding examples.

Dec 2021 - Oct 2023

Data And Statistical Analyst

- Specialize in building pipelines for hospital admission/post-discharge raw data processing and investigation. Strategize and perform statistical analysis in R for epidemiology models to present the risk factors, and develop predictive models with precision to implement models in App that can assess patient’s potential risk of death/readmission for improved health outcome.- Initialize standard operating procedures to ensure reusability of work products for project members by creating project repositories on Github for version control, documenting codes and comments using R markdown, and keeping track of communications between team members and clients. - Mentor co-op students to provide guidance and troubleshooting by organizing weekly meetings for project analysis and review.

Sep 2020 - Nov 2021

Ra At Sfu'S Statistical Consulting Service

Burnaby, British Columbia, Canada

- Participate in client meetings to discuss study designs and data collection, give suggestions on potential statistical models, and prepare reports for client information;- Investigate data from different fields of study, such as medical data, biology experimental data, to perform exploratory data analysis and statistical analysis by client request in SAS;- Perform ANOVAs, survival analysis, etc. to test whether the association in question is statistically significant;- Write reports to summarize the findings, give further suggestions on the next step, and facilitate clients to understand the statistical concepts in plain text.

May 2020 - Aug 2020

Teaching Assistant

-Managed workshops for students to learn course materials and ask questions. -Invigilate exams, mark assignments and exams with precision.-Communicate with workshop coordinator and professors about students' feedback on courses, and improve their grades and workshop experience.

Sep 2018 - Apr 2020

Undergraduate Research Assistant 2018

Burnaby, Canada

Enrolled in an award program entitled “Vice-President, Research Undergraduate Student Research Awards” (VPR USRA). -Research Project: Genotype Imputation for Statistical Analysis of Alzheimer's Disease-Supervisor: Dr. Jinko Graham-Details: Documented the work flow of imputing sporadically missing genotypes in genetic data due to flaws in genotyping technology. Softwares such as Rstudio, PLINK, SHAPEIT, IMPUTE2, GTOOL were used for genetic data quality control, haplotype estimation, imputation and merging data. The documentation is prepared for experties in genetics field to learn detailed steps on processing and combining large-scale genetic data.

May 2018 - Sep 2018
2 education records

Sichen (Coco) Liu education

Master Of Science - Ms, Statistics, 3.86/4.33

Activities and Societies: Thesis Project: Curating and Combining Big Data from Genetic Studies Awards: - Vice-President, Research.

FAQ

Frequently asked questions about Sichen (Coco) Liu

Quick answers generated from the profile data available on this page.

What company does Sichen (Coco) Liu work for?

Sichen (Coco) Liu works for Precision AQ.

What is Sichen (Coco) Liu's role at Precision AQ?

Sichen (Coco) Liu is listed as Research Statistician at Precision AQ.

What is Sichen (Coco) Liu's email address?

AeroLeads has found 1 work email signal at @cytel.com for Sichen (Coco) Liu at Precision AQ.

Where is Sichen (Coco) Liu based?

Sichen (Coco) Liu is based in Vancouver, British Columbia, Canada while working with Precision AQ.

What companies has Sichen (Coco) Liu worked for?

Sichen (Coco) Liu has worked for Precision Aq, Precisionheor, Cytel, Bc Children'S Hospital Research Institute, and Simon Fraser University.

How can I contact Sichen (Coco) Liu?

You can use AeroLeads to view verified contact signals for Sichen (Coco) Liu at Precision AQ, including work email, phone, and LinkedIn data when available.

What schools did Sichen (Coco) Liu attend?

Sichen (Coco) Liu holds Master Of Science - Ms, Statistics, 3.86/4.33 from Simon Fraser University.

What skills is Sichen (Coco) Liu known for?

Sichen (Coco) Liu is listed with skills including Mathematics, R Shiny, Gtool, Powerpoint, R, Impute4, Tidyverse, and Time Series.

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