Data Scientist at DataCamp
New York, New York
--Developing statistical models for the growth and structure of neurons, in collaboration with experimentalists (we use the Class IV sensory neuron in Drosophila larvae as a model system). Daily tasks include constructing master equations, developing analytical solutions and performing simulations via numerical integration and Monte Carlo methods, along with devising probability models, implementing statistical tests and analyzing... --Developing statistical models for the growth and structure of neurons, in collaboration with experimentalists (we use the Class IV sensory neuron in Drosophila larvae as a model system). Daily tasks include constructing master equations, developing analytical solutions and performing simulations via numerical integration and Monte Carlo methods, along with devising probability models, implementing statistical tests and analyzing large amounts of data. -- Developing quantification methods for gene-expresssion and alternative splicing across a variety of organisms. To do so, we mine publicly available RNA-seq datasets (>10^6 data points), develop statistical models, utilize statistical hypothesis tests and implement both supervised and unsupervised learning models on big data.
What company does Hugo Bowne-Anderson work for?
Hugo Bowne-Anderson works for Yale University
What is Hugo Bowne-Anderson's role at Yale University?
Hugo Bowne-Anderson is Postdoctoral Associate/Writer
What industry does Hugo Bowne-Anderson work in?
Hugo Bowne-Anderson works in the Research industry.
Who are Hugo Bowne-Anderson's colleagues?
Hugo Bowne-Anderson's colleagues are Kaelen Medeiros, Ramnath V., Sue Lai, MD. ISLAM, Sol Weinreich, Jared Silver, Adam Wallerstein, Caroline Harris, Jonathan Cornelissen, and Catherine Faus
📖 Summary
I am an applied mathematician and writer currently working in the lab of Jonathon Howard at Yale University (Molecular Biophysics and Biochemistry Department, School of Medicine). My daily work primarily involves the following: 1) the mathematical modeling of complex biological phenomena, from neuronal growth to cytoskeletal dynamics to alternative splicing; 2) performing large-scale statistical analyses on big and messy data sets, both mined publicly and produced by experimental collaborators. I am also a writer, having written essays, literary reviews, fiction and popular science non-fiction for publications such as The Australian, the Sydney Morning Herald, Heat Magazine, The Quarterly Conversation and Seizure Magazine.Postdoctoral Associate/Writer @ --Developing statistical models for the growth and structure of neurons, in collaboration with experimentalists (we use the Class IV sensory neuron in Drosophila larvae as a model system). Daily tasks include constructing master equations, developing analytical solutions and performing simulations via numerical integration and Monte Carlo methods, along with devising probability models, implementing statistical tests and analyzing large amounts of data. -- Developing quantification methods for gene-expresssion and alternative splicing across a variety of organisms. To do so, we mine publicly available RNA-seq datasets (>10^6 data points), develop statistical models, utilize statistical hypothesis tests and implement both supervised and unsupervised learning models on big data. From 2013 to Present (2 years) Postdoctoral Fellow @ --Predictive mathematical modeling of microtubule dynamics; analyzed in vitro data to construct a model that accounted for the multistep nature of catastrophe and the relative insensitivity of lifetime with respect to tubulin concentration; techniques employed include analytic solutions to master equations developed from our models, parameter estimation (e.g. maximum likelihood estimation), implementation of Monte Carlo simulations and statistical tests. -- Acted as statistical/mathematical consultant for biologists in the lab: this included helping experimentalists to form their hypotheses precisely and mathematically, to ask well-posed scientific questions, and to analyze their data using statistical hypothesis testing. From 2011 to 2013 (2 years) Dresden Area, GermanyDoctor of Philosophy (PhD), Pure Mathematics @ UNSW Australia From 2006 to 2011 Bachelor of Science (B.S.) (First Class Honors), Mathematics, English Literature @ University of Sydney From 2001 to 2005 Hugo Bowne-Anderson is skilled in: Mathematical Modeling, Statistical Modeling, Computational Biology, Statistical Data Analysis, Big Data, Data Mining, Machine Learning, Python, R, Matlab, Writing, Grant Writing, Journalism, Creative Writing, Data Analysis
Introversion (I), Intuition (N), Thinking (T), Judging (J)
2 year(s), 0 month(s)
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