Aapeli Vuorinen
PhD in Operations Research at Columbia University in the City of New York
PhD scholar in Operations Research at Columbia University
Columbia University in the City of New York
https://www.linkedin.com/company/columbia-university
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PhD in Operations Research
Accumulation Point Pty Ltd
https://www.linkedin.com/company/accumulation-point
Accumulation Point provides a variety of consulting services in statistics and machine learning to clients in industries ranging from insurance and finance, to startups and the tech sector.
Melbourne, Australia
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Consultant
Scry Engineering
https://www.linkedin.com/company/scryengineering
Custom Programming Solutions creates bespoke software solutions for clients in the software, process automation and optimization industries. From engineering specialty software and improving performance to creating scalable systems that deliver long-term value, we build products that help our clients thrive in highly competitive markets.

Our passion for problem solving and innovation is in every project we engage in, and we are committed to building a long-term relationship that brings value to your business. Whether you’re looking for outside consulting help or augmentation for your existing internal team, we have the versatility and expertise to meet your specific requirements.
Melbourne, Australia
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Senior Technical Consultant
Fireball.International
https://www.linkedin.com/company/exci-ai
Architecting low-latency, high accuracy deep learning pipelines for smoke detection using remote sensing and satellite imagery. Built out pipeline on AWS using Tensorflow, Kubernetes, gRPC, and Postgres.
Berkeley, California, United States
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Machine Learning Engineer
One on Epsilon
https://www.linkedin.com/company/one-on-epsilon
Brisbane, Australia
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Software developer and content contributor
University of Melbourne
https://www.linkedin.com/company/university-of-melbourne
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Graduate Teaching Assistant
Stacked Training
https://www.linkedin.com/company/stackedtraining
Melbourne, Australia
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Founder & Trainer
LocalCoinSwap
https://www.linkedin.com/company/localcoinswap
Australia
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Lead Security Engineer
Biarri
https://www.linkedin.com/company/biarri
I worked at Biarri on a consulting project for a large international corporation. This involved using Python with Pandas to clean, join, and analyze large, noisy datasets (often too large to feasibly fit in memory). Due to the complexity and scale of the data, this often meant writing novel machine learning algorithms for the analysis.
Brisbane, Australia
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Data Analyst
The University of Queensland
https://www.linkedin.com/company/university-of-queensland
Leading weekly discussion and tutorial classes which include preparation, presenting material, and grading student work.
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Teaching Assistant
The University of Queensland
https://www.linkedin.com/company/university-of-queensland
During my first summer research internship, I worked with Dr Yoni Nazarathy on a wide range of applied mathematical problems, mainly focusing on stochastic control and queueing theory. This led to co-authoring a conference paper on stochastic optimal control.

During my second summer research internship, I worked under the supervision of Dr Huy The Nguyen from the Geometric and Nonlinear Analysis group on a project in geometric analysis.
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Research Assistant
Doctor of Philosophy - PhD
Operations Research
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Columbia University in the City of New York
https://www.linkedin.com/school/columbia-university/
Master of Science
Topics include: machine learning; optimization, approximation algorithms and heuristics; advanced probability, random processes and stochastic calculus; computational differential equations, algorithms and complexity.
Statistics and Probability
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University of Melbourne
https://www.linkedin.com/school/university-of-melbourne/
Mathematics
Studied mainly graduate courses in analysis and differential equations.
4.0/4.0
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University of California, Berkeley
https://www.linkedin.com/school/uc-berkeley/
Bachelor of Mathematics
Undergraduate degree in mathematical analysis and probability, with some physics, economics and statistics.
Mathematics
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The University of Queensland
https://www.linkedin.com/school/university-of-queensland/
We address the problem of stabilizing control for complex queueing systems where servers follow unobservable Markovian environments. The controller needs to assign servers to queues without full information about the servers' states. A control challenge is to devise a policy that matches servers to queues in a way that takes state estimates into account and updates these estimates in the best way possible. Maximally attainable stability regions are non-trivial. We present the model, the control problem, and some preliminary methods for analysis and control. We illustrate basic phenomena and then focus on the simplest possible model having a single queue, a fixed state server, and a two state server. For this case, we begin analysis of a partially observable Markov decision process (POMDP) hinting at some structural properties. We also show how to use a quasi-birth-death (QBD) process for analysis and control.
The challenge of stabilizing control for queueing systems with unobservable server states
Proceedings of the Australian Control Conference, (AUCC 2015) (IEEE)
http://ieeexplore.ieee.org/document/7361960/