Co Organizer
CurrentOrganize and facilitate Data Science meet-ups with a focus on sharing local research and industry work. We aim to build a strong community promoting any data and coding-related work!
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@ryerson.ca
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Alin Morariu is listed as Bayesian inference | Computational epidemiology | Scientific software development | Probabilistic programming at PyData Lancaster, based in United Kingdom, United Kingdom, United Kingdom. AeroLeads shows a work email signal at ryerson.ca and a matched LinkedIn profile for Alin Morariu.
Alin Morariu previously worked as Co Organizer at Pydata Lancaster and Graduate Teaching Assistant at Lancaster University. Alin Morariu holds Doctor Of Philosophy - Phd, Statistics from Lancaster University.
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Leveraging modern statistical methods to provide data driven decisions across various fields. My passion for statistics stems from the field's natural ability to conform to a plethora of disciplines. Beginning with finance, transitioning to biology and more recently humanities, it has led to me to explore a diverse knowledge base and constantly pushed me to adapt and learn new concepts. I love the challenge of solving problems that force me into areas I've never explored. This mentality has helped me through each stop in my career and allowed me build a toolkit for tackling any new problem.In addition to being a quantitative mind, I'm also an avid sports fan, following basketball, hockey and baseball and have played volleyball at an elite level. I now continue to play volleyball while experimenting with other sports and have picked up photography.
Listed skills include Actuarial Science, Critical Thinking, Communication, Teamwork, and 19 others.
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Lancaster, England, United Kingdom
Organize and facilitate Data Science meet-ups with a focus on sharing local research and industry work. We aim to build a strong community promoting any data and coding-related work!
Lancaster, England, United Kingdom
Facilitate workshops and tutorials for mathematics, statistics, and computer science undergraduate and graduate courseGraduate courses: MATH403 - Statistical foundations I MATH404 - Statistical learning MATH454 - Survival analysis MATH533 - Generalized linear models SCC461 - R programmingUndergraduate courses: MATH103 - ProbabilityMATH104.
Toronto, Canada Area
MTH380 - Probability and Statistics I: Descriptive statistics. Probability (Laws of probability. Conditional probability. Discrete probability distributions (binomial, hypergeometric, Poisson). Continuous probability distributions, Normal, t-exponential, x². Applications of discrete and continuous distributions. Sampling distributions (sample mean, sample.
Toronto, Ontario, Canada
Implementing and back-testing various models for trading operations optimization with a large focus on trade cost modeling and hidden Markov models for time series classification
Toronto, Canada Area
Spatio-temporal modeling of Personal Attrition Factors for prediction of deaths in India
Toronto, Canada Area
STA130 - This course, intended for students considering a program in Statistical Sciences, discusses the crucial role played by statistical reasoning in solving challenging problems from natural science, social science, technology, health care, and public policy, using a combination of logical thinking, mathematics, computer simulation, and oral and.
Toronto, Canada Area
Curriculum Assessment - evaluate effectiveness of the Department of Statistics' curriculum in order to provide meaningful updates
Toronto, Canada Area
Organize and facilitate monthly social or academic events for students and community members
University Of Toronto
Published concise reviews of news and events within the finance industry with a key focus on insurance related topics (OPP and CPP updates)
Toronto, Canada Area
Build financial index for alternative assets and basic portfolio structuring
Toronto, Canada Area
Standardize models across health, dental, and travel products as well as build statistical models to improving pricing procedures of travel products
Toronto, Canada Area
Leverage extensive experience and training to methodically teach swimmers of all levels (beginner to competitive)
Toronto, Canada Area
Provide a safe environment for patrons to enjoy recreational aquatic activities
Toronto, Canada Area
Monitor quarterly performance of funds in order to optimize asset allocation and automate daily asset reconciliation via VBA within Excel
Leverage extensive experience and training to methodically teach swimmers of all levels (beginner to competitive)
Toronto, Canada Area
Provide a safe environment for patrons to enjoy recreational aquatic activities
Toronto, Canada Area
Oversee competitions and training sessions of provincial and national level athletes
Toronto, Canada Area
Perform funding and accounting valuation of both public and private sector pension plans as well as automation of PSPA calculations via an Excel based calculator
PhD candidate with focus on computational epidemiology, specifically on inference methods for stochastic epidemic models. The project is.
Applied Mathematics M.Sc Candidate. Projected Courses: Analysis & Probability, Stochastic Processes, Financial Mathematics, Advanced.
Activities and Societies: Actuarial Science Club, The Financial Newsroom, Investments and Capital Markets Club, Romanian Student Club.
Activities and Societies: Camp Tamakwa Retreat Executive and Director, Volleyball Head Coach and Player, White Pine Book Club Executive.
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Alin Morariu works for PyData Lancaster.
Alin Morariu is listed as Bayesian inference | Computational epidemiology | Scientific software development | Probabilistic programming at PyData Lancaster.
AeroLeads has found 1 work email signal at @ryerson.ca for Alin Morariu at PyData Lancaster.
Alin Morariu is based in United Kingdom, United Kingdom, United Kingdom while working with PyData Lancaster.
Alin Morariu has worked for Pydata Lancaster, Lancaster University, Ryerson University, Ontario Teachers' Pension Plan, and St. Michael'S Hospital.
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Alin Morariu holds Doctor Of Philosophy - Phd, Statistics from Lancaster University.
Alin Morariu is listed with skills including Actuarial Science, Critical Thinking, Communication, Teamwork, Microsoft Office, Microsoft Excel, Powerpoint, and Leadership.
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