Alumni

 

Previous members of the MezeyLab include Senior Associate Research Scientists, Postdoctoral Associates, PhD Graduate Students, and Scientific Programmers - see the Now page for current members. Profiles below list current positions - please see the Where Alums Go page for information on jobs alumni have accepted upon leaving the MezeyLab.

 


 

Martina Bradic

 

Dr. Martina Bradic, PhD

Senior Computational Biologist

Marie-Josee & Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center (MSKCC)

 

PhD - Nova University Lisbon

Tenure in the MezeyLab: 2017-2020

 

 


Dr. Martina Bradic was a Senior Research Associate member of the MezeyLab in the Department of Genetic Medicine at Weill Cornell Medicine from 2017 to 2020. She is currently a Senior Computational Biologist at Memorial Sloan Kettering Cancer Center (MSKCC) where her research is focused on computational oncology and cancer genomics. Previous to her time in the MezeyLab, she co-founded the start-up Savita Tech and was concurrently an Adjunct Lecturer at New York University (NYC), where her research was focused on computational genomics of infectious disease. While in the MezeyLab, she applied her computational statistics, programming, and genomics skill sets to a number projects where her work spanned analysis of the impact of transposable elements, methylation, and transcriptome profiles on complex diseases, development of pipelines for processing single-cell transcriptome and epigenomic data and multiple computational and bioinformatics projects. Her senior, first author, and collaborative publications include papers in Lancet Infectious Diseases, PLoS Pathogens, Genome Biology and EvolutionEpigenomics, and Mobile DNA.

For more information, see Dr. Bradic's twitter and linkedin profile or to get her direct contact information, please contact us at MezeyLab

 

 


 

Dr. Sushila Shenoy​​

Dr. Sushila Shenoy, PhD

Senior Data Scientist

Medidata Solutions, Inc.

 

 

PhD - Weill Cornell Medicine

Tenure in the MezeyLab: 2013-2018

 


Dr. Sushila Shenoy joined the MezeyLab as a Senior Research Associate and Senior Scientific Programmer after completing her PhD and postdoctoral work at Weill Cornell Medicine. She is currently a Senior Data Scientist at Acorn AI, a Medidata Solutions, Inc. company, developing machine learning methods for extracting insights from clinical data to improve the efficiency, safety, and success rates of clinical trials. While in the MezeyLab, she applied her machine learning, computational statistics, data science, scientific programming, and developer skills to numerous projects, where her work spanned inference of human pedigree relationships from genome-wide data, development of machine learning approaches for learning latent factors and statistical approaches for analyzing expression Quantitative Trait Loci (eQTL), and development of statistical techniques for identifying biomarkers for detecting environmental stressors from transcriptome data. She also worked on a number of collaborative projects and built several of the MezeyLab pipelines for processing and analysis of next-generation sequencing data. Her senior, first author, and collaborative publications include papers in the American Journal of Human Genetics, the American Journal of Respiratory and Critical Care Medicine, and PLoS Computational Biology.

For more information, see Dr. Shenoy's LinkedIn profile or to get her direct contact information, please contact us at  MezeyLab

 

 


 

Dr. Thomas Vincent

 

Dr. Thomas Vincent, PhD

Vice President of Data Science

Getty Images

 

PhD - University of Bristol

Tenure in the MezeyLab: 2012-2014

 

 


Dr. Thomas Vincent joined the MezeyLab as a Postdoctoral Associate at Weill Cornell Medicine after receiving degrees in Mathematics and Physics and then a PhD in Biostatistics from the University of Bristol (UK) where he worked on machine learning approaches for predicting peptide oligomer coiling. He is currently Vice President of Customer Data Science at Getty Images. While in the MezeyLab, he applied his machine learning and computational statistics skills to the problem of modeling changes in transcriptome profiles over time and to the learning of biomarkers from mixed omics data types. His publications include papers in Bioinformatics, the American Journal of Respiratory and Critical Care Medicine, the International Journal of Biochemistry and Cell Biology, and the Journal of Biochemical Chemistry

For more information, see Dr. Vincent's twitter and LinkedIn profile or to get his direct contact information, please contact us at MezeyLab

 

 


 

Dr. Nicole Tignor​​

 

Dr. Nicole Tignor, PhD

Senior Data Scientist

Icahn School of Medicine at Mount Sinai

 

PhD - Stony Brook University

Tenure in the MezeyLab: 2012-2013

 


Dr. Nicole Tignor joined the MezeyLab as a Postdoctoral Associate at Weill Cornell Medicine after receiving a PhD at the New York State University at Stony Brook. She is currently a Senior Data Scientist at Icahn Mount Sinai where her work is focused on developing machine learning algorithms for digital health data. While in the MezeyLab, she applied her computational statistics and scientific programming skills to develop methods for efficient multivariate mixed latent variable modeling of transcriptome data, as well as to a number of collaborative gene therapy projects. Her publications include papers in Scientific Data, Bioinformatics, and Human Gene Therapy.

For more information, see Dr. Tignor's Twitter and LinkedIn profile or to get her direct contact information, please contact us at MezeyLab

 

 


 

Dr. Juan Rodriguez-Flores, PhD

 

Dr. Juan Rodriguez-Flores, PhD

Senior Manager, Regeneron Pharmaceuticals, Inc.

 

PhD - University of California at San Diego

Tenure in the MezeyLab: 2012-2016

 

 


Dr. Juan Rodriguez-Flores joined joined the MezeyLab as a Postdoctoral Associate after receiving his PhD from the University of California at San Diego. He previously held the position of Assistant Professor at Weill Cornell Medicine in the Department of Genetic Medicine before he was recruited to his current position as Senior Manager at Regeneron. While in the MezeyLab he applied his statistical analysis and bioinformatics programming skills to the study of whole genome sequence data available from early next-generation driven sequencing efforts, where his work spanned building next-gen data processing pipelines, to population genetic analysis of human migration, to the analysis of Mendelian and complex genetic diseases. His publications include papers in Nature, Nature Genetics, PLoS Genetics, as well as a publication selected for the cover of Genome Research.  

For more information, see Dr. Rodriguez-Flores Twitter and LinkedIn profile or to get his direct contact information, please contact us at MezeyLab

 

 


 

Dr. Anthony Greenberg​​

 

Dr. Anthony Greenberg, PhD

Founder and CEO

Bayesic Research

 

PhD - University of Chicago

Tenure in the MezeyLab: 2011-2012

 


Dr. Anthony (Tony) Greenberg joined joined the MezeyLab as a Postdoctoral Associate at Cornell University. Upon leaving the MezeyLab, Dr. Greenberg founded the consulting and data analysis service company Bayesic Research, which develops statistical methods and software to interpret genetic data. While in the MezeyLab he applied his computational statistics and programming skills to the development of a fully Bayesian multivariate, multiple generalized linear modeling framework with flexible priors for genome-wide association analysis in any experiment design and an associated efficient Markov chain Monte Carlo (MCMC) inference algorithm that he applied to a number of collaborative projects, including several rice genomics projects performed in collaboration with Dr. Susan McCouch. His publications include papers in Science, Nature, Nature Communications, PLoS Genetics, Molecular Biology and Evolution, Frontiers of Plant Science, and Genetics.

For more information, see Bayesic Research or to get his direct contact information, please contact us at MezeyLab

 

 


 

Dr. Rami Mahdi

 

Dr. Rami Mahdi, PhD

Senior Software Engineer

Google

 

PhD - University of Louisville

Tenure in the MezeyLab: 2010-2011

 

 


Dr. Rami Mahdi joined the MezeyLab as a Postdoctoral Associate at Weill Cornell Medicine after receiving his PhD from the University of Louisville in Computer Science. He is currently a Senior Software Engineer at Google where his work includes machine learning research on search ranking and spam fighting. While in the MezeyLab, he applied his machine learning and algorithm skills to the development of efficient Bayesian Network algorithms and learning network relationships from transcriptome data for the purposes of target ranking. His publications include papers in the Journal of Machine Learning Research and Bioinformatics among others.

For more information, see Dr. Mahdi's twitter and LinkedIn profile or to get his direct contact information, please contact us at MezeyLab 

 

 


 

Dr. Larsson Omberg​​

Dr. Larsson Omberg, PhD

Vice President

 Sage Bionetworks

 

PhD - University of Texas at Austin

Tenure in the MezeyLab: 2008-2011

 

 


Dr. Larsson Omberg joined the MezeyLab as a Postdoctoral Associate at Cornell University after receiving his PhD in Physics at the University of Texas at Austin. He is currently Vice President of Systems Biology at Sage Bionetworks where he leads a group dedicated to large collaborative efforts in Genomics and Digital Health. His research focuses on using remote sensors and mobile phones to measure disease; and collaborative genomic research. His work actively uses open and team based science to get a large number of external partners to collaborate on data intensive bioinformatics and data science problems. This includes establishing norms and methods for measuring disease phenotypes using remote sensors and developing analytical approaches for turning raw signals from sensors into digital biomarkers. While at the MezeyLab, he worked on a number of machine learning and statistics problems related to population genetics and pulmonary disease. He has authored over 75 publications and has published in Nature Genetics, Nature Biotechnology, Cell among many others.  

For more information, see Dr Omberg's Sage Bionetworks profile, his list of publications, and LinkedIn profile or to get his direct contact information, please contact us at MezeyLab

 

 


 

Dr. Afrah Shafquat

Dr. Afrah Shafquat, PhD

Data Scientist

 Acorn AI / Medidata Solutions, Inc.

 

PhD - Cornell University

Tenure in the MezeyLab: 2016-2020

 

 


Dr. Afrah Shafquat joined the MezeyLab as a Cornell University PhD student in the Field of Computational Biology after completing her S.B. in Biological engineering from MIT. She is currently a Data Scientist at Acorn AI, a Medidata Solutions Inc. company, where her work is focused on developing machine learning solutions trained on clinical trial data for simulating and predicting clinical trial outcomes. Her PhD graduate work focused on developing statistical models to infer disease misdiagnosis errors using genetic datasets to improve GWAS (Genome-Wide Association Studies) phenotypes. She developed PheLEx (Phenotype Latent variable Extraction of disease misdiagnosis), a hierarchical Bayesian latent variable model to adjust differentially misdiagnosed disease phenotypes and was involved in a number of collaborative projects. During her graduate career, she was an Insight Data Science Fellow and has also served as a Data Science Consultant at Slalom Consulting.  Her publications include papers in Nature Reviews Microbiology, Trends in Microbiology, BMC Bioinformatics, PLoS One, Cell Metabolism, PeerJ, and mSystems.

For more information, see Dr. Shafquat's Twitter and LinkedIn profile or to get her direct contact information, please contact us at MezeyLab

 

 


 

Dr. Zoe Zhao​​

 

Dr. Zijun (Zoe) Zhao

Bioinformatics Scientist

 Prevail Therapeutics

 

Weill Cornell Medicine

Tenure in the MezeyLab: 2016-2020

 


Dr. Zijun (Zoe) Zhao joined the MezeyLab as a Weill Cornell Medicine PhD student in the Field of Physiology, Biophysics, and Systems Biology. She is currently a Bioinformatics and Quantitative Scientist at Prevail Therapeutics. Her PhD graduate work focused on out of training sample assessment of proposed machine learning Polygenic Risk Score (PRS) methods trained by cross-validation on a limited number of GWAS (Genome-Wide Association Study) data sets. She producing improved training approaches to develop new PRS methods that achieve admissible robustness. During her graduate career, she built components of the MezeyLab data management system and was involved in a number of collaborative GWAS and biomarker development projects. Her publications include a paper in the Annals of Neurology, among others.

For more information including Dr. Zhao's direct contact information, please contact us at MezeyLab

 

 


 

Dr. Mark Spurgeon

 

Dr. Mark Spurgeon, PhD

Data Scientist

 Epsilon

 

Weill Cornell Medicine

Tenure in the MezeyLab: 2013-2018

 

 


Dr. Mark Spurgeon joined the MezeyLab as a as a Weill Cornell Medicine PhD student in the Field of Physiology, Biophysics, and Systems Biology. He is currently a Data Scientist at Epsilon. His graduate research work focused on developing a regularized multivariate methodology for detecting epistasis in expression Quantitative Trait Loci (eQTL). He also worked on analyzing disease genome-wide methylation profiles, where he developed the initial MezeyLab Methyl-Seq processing and analysis pipeline. During his graduate career, he was also selected as a Data Incubator Fellow and post-completion invited to be an instructor for the program. His publications include a paper in Epigenomics, among others.

For more information, see Dr. Spurgeon's LinkedIn profile or to get her direct contact information, please contact us at MezeyLab

 

 


 

Sarah Brooks, MS​​

 

Sarah Brooks, MA

Masters in Computational Biology and Medicine

Weill Cornell Medicine

Tenure in the MezeyLab: 2014-2018

 

 


Sarah Brook joined the MezeyLab as a Weill Cornell Medicine PhD student in the Computational Medicine and Biology program. For her Master's degree graduate work she developed computationally efficient learning approaches for identifying covariates and composite covariates from high-dimensional genomic and epigenomic data to increase discovery power. During her graduate career, she was additionally the statistical lead on a mouse model gene therapy project. Her publications include a paper in the Journal of Allergy and Clinical Immunology, among others.

For more information or to get her direct contact information, please contact us at MezeyLab

 

 


Dr. Abishek Sainath Madduri

 

Dr. Abishek Sainath Madduri, PhD

Data Scientist

 Mount Sinai Health System

 

Weill Cornell Medicine

Tenure in the MezeyLab: 2012-2017

 

 


Dr. Abishek Sainath Madduri joined the MezeyLab as as a Weill Cornell Medicine PhD student in the Field of Physiology, Biophysics, and Systems Biology. He is currently a Data Scientist at Mount Sinai Health Systems. His PhD graduate work focused on developing mutual information methods for recovering directed and undirected probabilistic graphical network models. What he did was use these applications of these methods to develop network constraint hypotheses by comparing TCGA data. During her graduate career, he was preceptor instructor of discrete mathematics at Columbia and an Insight Data Science Fellow. His publications include papers in Bioinformatics and the Journal of Translational Medicine among others

For more information, see Dr. Madduri's LinkedIn profile or to get his direct contact information, please contact us at MezeyLab

 

 


 

Dr. Monica Ramstetter​​

 

Dr. Monica Ramstetter, PhD

Principal Scientist

 Loxo Oncology at Lilly

 

Cornell University

Tenure in the MezeyLab: 2012-2017

 


Dr. Monica Ramstetter joined the MezeyLab as a Cornell University PhD student in the Field of Computational Biology during which she was co-advised by Professor Amy Williams and Professor Mezey. She is currently a Principal Scientist at Loxo Oncology at Lilly. Her PhD graduate work focused on understanding the limits of inferring extended family relatedness and accurately reconstructing pedigrees  from genome-wide genotype data. She developed DRUID PheLEx (Deep Relatedness Utilizing Identity by Descent), an algorithm for high accuracy recovery of pedigrees beyond nuclear family relationships and was involved in a number bioinformatics and Genome-Wide Association Study (GWAS) and collaborative projects. During her graduate career, she was selected as a National Science Foundation Graduate Student Fellow and a Cornell Presidential Life Sciences Fellow, among others. Her publications include papers in the American Journal of Human Genetics, Genetics, Genome Research, Human Genome Variation, and PLoS One.

For more information, see Dr. Ramstetter's LinkedIn profile or to get her direct contact information, please contact us at at MezeyLab

 

 


 

Dr. Jin Hyun Ju

 

Dr. Jin Hyun Ju, PhD

Senior Computational Biologist

BridgeBio

 

Cornell University

Tenure in the MezeyLab: 2013-2017

 

 


Dr. Jin Hyun Ju joined the MezeyLab as a Cornell University PhD student in joined the MezeyLab as as a Weill Cornell Medicine PhD student in the Field of Physiology, Biophysics, and Systems Biology after completing her S.B. in Biological engineering from MIT. He is currently a Senior Computational Biologist at BridgeBio. His PhD graduate work focused on developing learning methods for identifying confounding factors to enable the identification of broad-impact expression Quantitative Trait Loci (eQTL) from the analysis of genome-wide genotype and transcriptome data. He developed CONFETI (Confounding Factor Estimation Through Independent component analysis), an algorithm incorporating Independent Component Analysis (ICA) for distribution independent learning confounding factors from highly multivariate data and was involved in a number of collaborative projects. His publications include papers in PLoS Computational Biology and PLoS One, among others.

For more information, see Dr. Ju's LinkedIn profile or to get his direct contact information, please contact us at MezeyLab

 

 


 

Dr. Gabriel Hoffman​​

 

Dr. Gabriel (Gabe) Hoffman, PhD

Assistant Professor

 Icahn Institute for Data Science and Genomic Technology 

 

Cornell University

Tenure in the MezeyLab: 2008-2013

 


Dr. Gabriel (Gabe) Hoffman joined the MezeyLab as a Cornell University PhD student in the Field of Genetics and Development after completing his Bachelors of Science at the University of Maryland. He is currently an Assistant Professor in Genetics and Genomics Sciences at the Icahn School of Medicine at Mount Sinai, where his work is focused on developing methods for statistical analysis, causal modeling, and machine learning to study psychiatric diseases when analyzing combined genomic, brain imaging, and clinical data. His PhD graduate work focused on developing frameworks for applying penalized Generalized Linear Models (GLMs) without overfitting and methods for optimal kernel selection in Mixed Models with fast associated algorithms for identifying genetic associations in Genome-Wide Association Studies (GWAS). During his PhD, he developed PUMA (A Unified Framework for Penalized Multiple Regression Analysis of GWAS data), lrgpr (interactive linear mixed model analysis of genome-wide association studies with composite hypothesis testing and regression diagnostics in R), and was involved in a number of collaborative GWAS analysis projects. His publications include papers in Science, Nature Neuroscience, Nature Genetics, Cell Stem Cell, PLoS Computational Biology, and Bioinformatics, among many others.

For more information, see Dr. Hoffman's Mount Sinai and LinkedIn profile or to get his direct contact information, please contact us at MezeyLab

 

 


 

Dr. Chuan Gao

 

Dr. Chuan Gao, PhD

Principal Scientist

Bristol Myers Squibb

 

Cornell University

Tenure in the MezeyLab: 2007-2012

 

 


Dr. Chuan Gao joined the MezeyLab as a Cornell University PhD student in the Field of Computational Biology. He is currently a Principal Scientist and statistician at Bristol Myers Squibb. His PhD graduate work focused on developing frameworks for learning latent factors from highly multivariate data and mapping of expression Quantitative Trait Loci (eQTL). During his PhD, he developed HEFT (Hidden Factor Expression analysis), a multivariate regression and unspecified factor model with a ridge penalty for analyzing eQTL and he was involved in a number of collaborative projects. His publications include papers in BioinformaticsGenome Research, Molecular Vision, and PLoS One, among others.

For more information, see Dr. Gao's LinkedIn profile or to get his direct contact information, please contact us at MezeyLab

 

 


 

Dr. Benjamin Logsdon​​

 

Dr. Benjamin (Ben) Logsdon

Director of Computational Biology

 Cajal Neuroscience

 

Cornell University

Tenure in the MezeyLab: 2007-2010

 


Dr. Benjamin (Ben) Logsdon joined the MezeyLab as a Cornell University PhD student in the Field of Computational Biology after completing his undergraduate degree in Biochemistry at Washington State University. He is currently Director Computational Biology at Cajal Neuroscience, where he is directing machine learning, statistical, and bioinformatics research aimed at accelerating the entire Cajal neurodegenerative disease treatment portfolio. His PhD graduate work focused on developing causal modeling and mixture prior Probabilistic Graphical Model network recovery algorithms including Variational Bayes algorithms scalable to high dimensional data and he was involved in a numerous collaborative projects. He developed multiple algorithms for generalized linear models and probabilistic graphical models for analyzing mixed genomic types to identify genetic and molecular network features important for a variety of diseases. During his graduate career, he was a Cornell Presidential Life Sciences fellow and received a number of awards. His publications include papers in Nature Neuroscience, Nature Genetics, the American Journal of Human Genetics, PLoS Genetics, Nucleic Acids Research, Bioinformatics, BMC Bioinformatics, and PLoS Computational Biology, among many others.

For more information, see Dr. Logsdon's list of publications, his Twitter and LinkedIn profile or to get his direct contact information, please contact us at MezeyLab

 

 


 

Dr. Abra Brisbin

 

Dr. Abra Brisbin, PhD

Associate Professor

University of Wisconsin - Eau Claire

 

Cornell University

Tenure in the MezeyLab: 2006-2010

 

 


Dr. Abra Brisbin joined the MezeyLab as a Cornell University PhD student in the Field of Applied Mathematics after completing her undergraduate degree in Mathematics from Carleton College. She is currently a tenured Associate Professor at the University of Wisconsin at Eau Claire. Her PhD graduate work focused on developing methods for performing Bayesian Linkage Analysis on complex pedigrees and accompanying efficient Markov chain Monte Carlo (MCMC) algorithms, and she was involved in a number of collaborative projects. Among other methods, she developed LOCate (Linkage analysis of Ordinal and Categorical traits), a Bayesian Linkage Analysis method for forms of discrete disease phenotypes making use of a simulated tempering MCMC algorithm for efficient inference. Her publications include papers in Statistical Applications in Genetics and Molecular BiologyFrontiers in GeneticsHuman Biology, PLoS One, Genetic Epidemiology, among others.

For more information, see Dr. Brisbin's professional profile, her list of publications, her and LinkedIn profile or to get her direct contact information, please contact us at MezeyLab

 

 


 

James Lorigan​​

 

Gerry (James) Lorigan, MA

In Vitro Pipeline Manager

 Pivot Bio

 

Cornell University

Masters in Genetics and Development

Tenure in the MezeyLab: 2006-2010

 


Gerry Lorigan joined the MezeyLab as a Cornell University PhD student in the Genetics and Development after completing his undergraduate degree in Genetics at Trinity College, Dublin. For his Master's degree graduate work he developed molecular and statistical approaches for quantitatively analyzing molecular pathways. During his graduate career, he also worked to set up initial lab pipelines and as involved in several collaborative projects. His publications include a paper in the Journal of Experimental Zoology, among others.

For more information, see his LinkedIn profile or to get his direct contact information, please contact us at MezeyLab

 

 


 

Francisco Agosto-Perez

 

Francisco Agosto-Perez

Software Developer 

 Robbins Lab - Cornell University

 

Cornell University

Senior Scientific Programmer

Tenure in the MezeyLab: 2011-2016

 

 


Francisco received his undergraduate degree in Physics Applied to Electronics from the University of Puerto Rico-Humacao, his Masters degree in Biophysics and Computational Biology from the Ohio State University, and joined the MezeyLab as a Senior Scientific Programmer. In the MezeyLab he built numerous pipelines for processing and analyzing genomic data, developed infrastructure to manage data and maintain high performance compute (HPC) resources, and was involved in numerous collaborative projects, including our work with Professor Susan McCouch on rice genome-wide association study analysis and resource development. Since leaving the MezeyLab, Francisco continued in the lab Professor McCouch and currently the lab of Professor Kelly Robbins at Cornell, where he is a software developer in the Breeding Informatics team within the Innovation Lab For Crop Improvement building pipelines for genomic data analysis, and web applications for a variety of stakeholders. Beyond his work in genomics and bioinformatics, he additionally builds Apps and maintains development interests in Data Science and Statistics applications in a number of industries.

For more information, see his professional profile and his publications, or to get his direct contact information, please contact us at MezeyLab

 

 


 

Pavel Korneliev​​

 

Pavel Korneliev

Senior Scientific Programmer

 

Cornell University

Tenure in the MezeyLab: 2010-2014

 


Pavel received his undergraduate degree in Russia and worked in a number of industries including aeroscience engineering before joining the MezeyLab as a Senior Scientific Programmer. In the MezeyLab he built pipelines for processing raw genotyping and other genomic data and for performing genome-wide association study (GWAS), as well as assisting with number of collaborative projects. Since leaving the MezeyLab, he has continued working at Cornell in the lab of Professor Amnon Koren building pipelines for a RNA processing and analysis and has continued engagements in Bioinformatics and data science programming in other industries.

For more information or to get his direct contact information, please contact us at MezeyLab

 


 

 

Fangfei Ye

 

Fangfei Ye

Senior Lab Analyst 

Duke University Center for Genomic and Computational Biology

 

Cornell University

Bioinformatics Technician

Tenure in the MezeyLab: 2006-2009

 

 


Fangfei received her Doctor of Medicine in China and joined the MezeyLab as a Senior Bioinformatics Technician. She is currently a Bioinformatics Technician in the Duke Genomics Center. In the MezeyLab she was responsible for managing and collecting genomic and image data for a complex phenotype and pathway Drosophila model system, setting up and managing the initial compute and data collection systems for the MezeyLab, and was additionally involved in numerous collaborative projects.

For more information, see her LinkedIn profile or to get her direct contact information, please contact us at MezeyLab