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Amirreza Sedaghat

437-***-**** ad2sjk@r.postjobfree.com linkedin.com/in/amirrezas/

Qualifications

– 3+ years of experience in application of machine learning in building algorithms and predictive models.

– 5+ of experience in developing and debugging in C/C++ and Python experienced in data visualization,

parallel programming and implementation of computational data analysis approaches.

– Thorough familiarity with ML in clustering, classification and regression algorithms while usage of

SciKit-Learn, PyTorch, Numpy and pandas libraries in python.

– Experienced in Object oriented programming in C++ and using computational libraries such as Boost,

OpenCV, mlpack, ODEint and FFTW.

– Experienced in visualization and computer vision fundamentals as continuously using OpenCV, PyTorch

and couple of brain image visualization softwares.

– GRE Quantitative score of 170/170, being ranked 1st among 15,000 students when entering university

reflects my strong background in mathematics and physics.

Key Skills

ML Algorithms • Statistical Modeling • Clustering and Classification • Model Development

Data Analysis • Large-scale Data Processing • Workload Efficiency • Quantitative Analysis

Education

Columbia University New York, NY, USA

Master of Science in Biomedical Engineering Sep. 2017 – Aug 2019

Sharif University of Technology Tehran, Iran

Bachelor of Science in Electrical Engineering Sep. 2010 – Aug. 2015

Experience

Staff Officer of Research Sept. 2021 – June 2023

The Taub Institute for Research on Alzheimer’s Disease and the Aging Brain New York, NY

• Performing cross-sectional and longitudinal analysis on white matter lesions in brain

• Machine learning tools are implemented while incorporation of pre-processing techniques for automatic brain lesion

segmentation.

• Performing statistical analysis on functional MRI scans.

Research Engineer Jan. 2020 – Dec 2021

Weill Cornell Medicine New York, NY

• Developed a C++ simulator that helps researchers to simulate the effect of motion in MRI scanner.

• Machine learning approaches implemented to classify brain tissues and estimate structural parameters using

supervised ML algorithm.

• Results shows that the program is fastest among its counterparts.

• Implemented parallel programming to speed-up the simulation of high-dimensional data.

• Quantitative analysis approaches used to optimize modeling of stochastic processes involved in the data.

Graduate Research Assistant Sep 2017 – Dec 2020

Columbia University New York, NY

• Built an algorithm with ability to extract weak responses from a brain network known as default mode network.

• Impulse response extracted using deconvolution approaches while signal confounded with stochastic processes.

• Unsupervised clustering ML algorithm used to identify natural sub-networks.

• Algorithm tested on realistic data and reevaluated using boot-strap statistical methods.

• Proved a major network in the brain has multiple underlying mechanisms.

Control Engineer Researcher Sep 2015 – Aug 2017

Institut de recherches cliniques de Montréal (IRCM) Montreal, QC, Canada

• Established a novel closed loop delivery system to adjust glucose concentrations in people diagnosed with diabetes.

• Assessed the effect of exercise on patient glucose level and how our automated system have to respond to it during

physical activity.

• Incorporated supervised ML algorithms to perform predictive analysis and classification of exercise types.

R&D Machine Learning Engineer Sep 2013 - July 2015

Pekco Electronics Inc. Tehran, Iran

• Implemented supervised machine learning to find and remove faulty pieces in the production line.

• Developed a real-time system actuating based on the trained neural network.

University/College Lecturer, Teacher Assistant

Sharif University of Technology (2013-2015), Columbia University(2017)

• Lectured courses in linear control theory and functional magnetic resonance imaging.

• Taught courses in calculus I/II, linear algebra and statistics.

Programming Skills

Languages: C/C++, Python, R, MATLAB, Unix-shell, LATEX, Microprocessor Assembly

Developer Tools: Eclipse, CLion, PyCharm, Visual Studio,

Libraries: Scikit-learn, PyTorch, Mlpack, NumPy, Pandas, Matplotlib, OpenCV, Boost, FFTW, ODEint, OpenMP,

GNU Octave

Achievements & Awards

2017 Awarded a full scholarship to pursue MS/PhD studies at Columbia University

2015 Awarded tuition-waiver to pursue Masters studies at McGill University

2010 Awarded a full scholarship to pursue Undergraduate studies at Sharif University

2009 Member of National Iranian Elites Foundation

2010 Third Prize Winner of International Olympiad on Astronomy and Astrophysics

2009 Ranked 1st (out of 15,000) attending Highschool Astronomy Competitions

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