Personal Statement In Population Biology - 739 Words

I have started my research with applied probability in theoretical population biology and in statistical genetics during my PhD. However, during my postdoctoral work at the Emory University I started working in a completely different topic of developing HIV vaccine trial design and survival analysis. Soon afterwards during the early days of my Assistant Professorship at Georgia State University, I got exposed to an exciting field of research microarray data analysis. I found it to be fascinating to deal with thousands of genes at the same time. I wrote my first NSF proposal and was successful in obtaining the fund. From then on, I have always worked with high dimensional data in molecular biology in genomics, proteomics, lipidomics and†¦show more content†¦This paper is not only an important one computationally, but also has the potential of modifying clinical protocol. In Datta et al. (BMC Bioinformatics, 2017) we developed a novel statistical approach for identification of the master regulator transcription factor using a permutation based test with a concordant statistic. Additionally, we have a recently accepted on a meta-analysis paper which combines the results of many experiments on thousands of genes and combines the results to provide a FDR control strategy. We have contributed significantly in developing methods for reverse engineering gene, protein, lipid interaction network through association scores based on partial least squared regression model. Additionally, we developed nonparametric tests to perform differential network analysis in multiple experimental conditions using RNA-Seq count data and lipidomics data from mass spectrometry (Kujala et al., 2015; 2017, Gill et al. 2012). I was also involved in pure statistical research involving monotonic single index models and variable selection and multiple imputations Wan et al. 2014 and 2017). Currently, I am involved in developing methodology to identifying differentially expressed genes using single cell RNA sequencing data. scRNA-Seq data has tremendous opportunity to study the expressions of genes at an individual cellular level. However, this type ofShow MoreRelatedRacism Racism1172 Words   |  5 Pagesracism is a very real and terrible system within our global society, the concept of race is not real and cannot be proven as such either biologically or socially speaking. Hochman states that though racism has emerged from the categorization of populations based upon physical attributes, race itself does not truly exist. Furthermore, he purports that race has no biological foundation; though most people believe race is biological in nature, the truth remains that biological differences among humansRead More This Quicksilver Illness: Moods, Stigma, and Creativity Essay1092 Words   |  5 Pagesdisease. 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