James Brofos's Email Addresses & Phone Numbers

💼 Past Experience

James Brofos's Research experiences:Data Scientist at Yale UniversityJames Brofos is currently a Summer Research Intern at Carnegie Mellon University from June 2014 to August 2014 (3 months) in Greater Pittsburgh-området, USA. Investigated the mathematical theory of Markov random field models to derive necessary sample size conditions for statistical testing.Wrote distributed C code using MPI for large-scale numerical analysis of Ising models that scales beyond what is possible using serial computation.Co-Founder of the Native Organization of Business Leaders & Entrepreneurs at Dartmouth College from March 2013 to June 2014 (1 year 4 months) in Hanover, NH. Acquired college recognition of an organization whose mission is to promote awareness of, and opportunities for, Native American students interested in entrepreneurship in Indian Country.Acquired funding to allow Native American students to attend the national NAFOA conference in 2014 and to research issues of entrepreneurship and business development on the MHA Nation.Research Assistant at Dartmouth College from February 2014 to May 2014 (4 months) in Hanover, NH. Implemented software in Python for the purposes of intertextual analysis using representation techniques from natural language processing. Developed support vector machine algorithms to identify instances of false authorship attribution among classical Latin and Greek authors.President Scholar Research Assistant at Dartmouth College from March 2013 to March 2014 (1 year 1 month) in Hanover, NH. Collaborated closely with computer science and linguistics faculty to modify a matrix-vector recursive neural network model for natural language processing.Obtained 94% accuracy in classifying the semantic similarity of German and English sentence representations using representations discovered by the neural network.Utilized a GIZA parser to construct German and English language dictionaries and implemented Python code to extract the maximum likelihood translation of words.Research Assistant in Applied Mathematics at Dartmouth College from June 2013 to September 2013 (4 months) in Hanover, NH. Implemented in MATLAB double layer potential quadrature schemes involving close-evaluation techniques to efficiently solve PDE systems to high accuracy.Wrote MATLAB functions for Lagrange and Fourier interpolation, parametric boundary discretization, and conformal mappings.Principal Investigator for Machine Learning in Political Analysis at Dartmouth College from April 2013 to September 2013 (6 months) in Hanover, NH. Implemented a gradient-boosted decision forest and a neural network architecture with DBN initialization in the Python environment.Categorized Kenyan ethnic groups by character sequences and achieved accuracies that are 1066% greater than random guessing.Principal Investigator at Dartmouth College from May 2013 to June 2013 (2 months) in Hanover, NH. Implemented a stochastic optimization procedure based on Bayesian mathematics to improve parameter validation procedures.Demonstrated that existing methods in Bayesian optimization will fail under certain conditions and developed an adaptive Monte Carlo procedure to correctly identify optimal parameters.Validated optimization procedure on data related to anonymous credit approval information. Physics Department Parallel Computing Cluster System Administrator at Dartmouth College from February

🎓 Education

dentistJames Brofos has a B.A. in mathematics and computer science from Dartmouth College. He is currently a PhD candidate in statistics and data science at Yale University. James Brofos is a Dentist.

💡 Technical & Interpersonal Skills

Overall, James Brofos has a diverse background in mathematics, computer science, and linguistics. Brofos has experience implementing software in Python for the purposes of intertextual analysis using representation techniques from natural language processing, dataAnalysis, Tatiana, Markov random field models, Sampling theory, andClassical Latin and Greek authors. Additionally, Brofos has knowledge inStock market Return Prediction, data visualization, and financial analysis. His experience in grading for machine learning and statistics has also led Brofos to develop an inference algorithm that boosts average accuracy to 70% in stock movement prediction.