Experience

Iovance Biotherapeutics, Inc.

• United States
• Biotechnology Research
• 300 - 400 Employee

• Executive Director, Biostatistics

  • Jan 2022 - Present

• Senior Director, Biostatistics

  • Aug 2020 - Jun 2022

• Director, Biostatistics

  • Mar 2019 - Aug 2020



Celgene

• United States
• Pharmaceutical Manufacturing
• 700 & Above Employee

• Principal Statistician

  • Jan 2018 - Mar 2019



Allergan (formerly Forest Laboratories)

• madison, new jersey

• Senior Manager in Statistical Science

  • Mar 2016 - Jan 2018



Forest Laboratories (now Allergan)

• Pharmaceutical Manufacturing
• 500 - 600 Employee

• Senior Principal Statistician

  • Jun 2014 - Mar 2016

• Senior Statistician

  • Jun 2012 - Jun 2014



Stony Brook University

• United States
• Higher Education
• 700 & Above Employee

• Visiting Assistant Professor

  • Aug 2011 - Jun 2012

  • Large-scale quantitative proteomics analysis: Data between time and dose levels were compared using linear modeling approach and empirical Bayes moderated t test and controlled by false discovery rate; Exponential decay model was employed to determine protein turnover rates. (Collaborator: Dr. Emily Chen) • Analyzed time-course microRNA profiling using permutation-based repeated measures ANOVA in human stress response study; Planned experiments by sample size and power… Show more • Large-scale quantitative proteomics analysis: Data between time and dose levels were compared using linear modeling approach and empirical Bayes moderated t test and controlled by false discovery rate; Exponential decay model was employed to determine protein turnover rates. (Collaborator: Dr. Emily Chen) • Analyzed time-course microRNA profiling using permutation-based repeated measures ANOVA in human stress response study; Planned experiments by sample size and power analysis (Collaborator: Dr. Turhan Canli) • Extended linear/non-linear models to study microRNA-mRNA interactions under epigenetic-mediated regulation in colon cancer (Collaborator: Dr. Ellen Li) • Instructor of “Probability & Statistics for Life Sciences” (Undergraduate course, 282 registered students): Prepared and presented lectures, office hours, assignments and exams

• Research Assistant

  • Jan 2008 - Jul 2011

  Dept. of Applied Math & Statistics, SUNY at Stony Brook (PI: Dr. Wei Zhu, Dec 2007-Jul 2011) • Extended Structural Equation Modeling (SEM) to accommodate categorical variables in biological pathways. • Novel application of latent variable SEM to platform comparisons (Sanger and 454 sequencings): Proved that latent variable SEM contains repeated measures ANOVA and confirmatory factor analysis as special cases and, as a more general model features superior goodness-of-fit as well as… Show more Dept. of Applied Math & Statistics, SUNY at Stony Brook (PI: Dr. Wei Zhu, Dec 2007-Jul 2011) • Extended Structural Equation Modeling (SEM) to accommodate categorical variables in biological pathways. • Novel application of latent variable SEM to platform comparisons (Sanger and 454 sequencings): Proved that latent variable SEM contains repeated measures ANOVA and confirmatory factor analysis as special cases and, as a more general model features superior goodness-of-fit as well as reliability analysis results. • Applied and simplified the generalized linear latent and mixed model to study complex biological pathways with continuous and categorical variables. Brookhaven National Laboratory (PI: Dr. Niels van der Lelie, Jan 2009 – Jul 2011) • Accomplished manual genome annotations of bacterium Pseudomonas putida W619 and analyzed its comparative genomics and niche-specific functions against genomes of closely related strains. • Performed and coordinated the next-generation (RNAseq) sequencing data analysis: Analysis for count data using negative binomial model and exact test; Pattern recognition with customized clustering; Regulatory network analysis. Cold Spring Harbor Laboratory (PI: Dr. Josh Huang, Feb 2008-Dec2008) • Developed compound hierarchical clustering analysis on neuronal microarray data for combining mixed features; successfully identified genes with similar expression patterns as well as relevant functional categories. Medical Center, SUNY at Stony Brook (PI: Dr. Wadie Bahou, Jan 2008 – Jan 2009) • Conducted classification analysis (non-parametric LDA) for diagnostics of thrombocytosis using microarray data.