Sergiusz Wesolowski Email & Phone Number

Cambridge, MA, US

Cambridge, Massachusetts, United States

Developing INV algorithms

Salt Lake City, Utah, United States

- Analyzed Deep Learning cell image embeddings to inform strategic decisions on onboarding 6 new cell perturbation technologies with close collaboration with the wet lab team by utilizing customized Prefect Flow pipelines.- Coordinated the lab operations standardization efforts, resulting in roughly tripling teams' throughput, by establishing design.

Greater Salt Lake City Area

- Designed and implemented a Mendelian Disease signature search algorithm with successful deployment on the Utah Population Database, supporting analysis of pedigree of >100,000 members by leveraging graph ML and Bayesian Networks. - Designed and implemented Probabilistic Graphical Models for high-resolution disease trajectory forecasting deployed on.

Florida State Univertisy

- Uncovered the impact of nucleosome shape and relative position on differential gene expression by constructing a shape data analysis model and validating it using DNAseq and RNAseq genomics data.- Designed and published SRSFseq, a functional model for Shape Analysis of Exon-Level Gene Activity.

Hasselt, Belgium

• Statistical Modelling of QTLs.assisted in building a statistical framework to identify QuantitativeTrait Loci in yeast through distance to SNPs in diploid sequencingdata, performed data analysis with HMM and B-splines.

Augusta, Georgia Area, Cancer Center

• Empirical Bayes Model for RNA-seq Gene Expression.constructed a new empirical-bayes model for RNA-seq differentialgene expression testing, created a benchmark dataset for algorithms evaluation.
• Short term projects involving design and implementation of statisticalanalysis pipelines (Bayesian techniques, differential gene expressiontests, benchmark datasets, Brownian Distance Covariance, noise re-duction.

Augusta, Georgia Area

• T-Cell Receptor Repertoires Analysis,performed mathematical modeling and data analysis, applied a novel statistical technique: Brownian Distance Covariance.
• Detecting Cell Type Specific Genes for T-cells,performed statistical analysis and modeling, proposed an iterative Bayes procedure for noise removal in microarray data.

Warsaw Area, Poland

• Statistical Analysis of High-Throughput Web Traffic Data,– constructed a framework for detecting and classifying anomaliesin high-throughput web traffic data.

Doctor Of Philosophy (Phd), Biomathematics, Bioinformatics, And Computational Biology

Activities and Societies: Graduate Assistants UnionDissertation: "Stochastic Point Processes Modeling for Next Generation Sequencing”

Master'S Degree, Mathematics And Statistics

Activities and Societies: Student GovernmentMathematics, Specialization in Statistics and Probability Theory. Thesis: “Oscillations in.

Bachelor'S Degree, Mathematics

Optimal Control Theory