MEHRAD SARMASHGHI
617-***-**** adjl3v@r.postjobfree.com www.github.com/MehradSm www.linkedin.com/in/mehradsm Ph.D. student with a demonstrated history of working in data science, machine learning, statistics, and com- putational biology. Collaborative and detail-oriented engineer with experience in leading multiple research and development projects. Develops and implements machine learning and statistical algorithms for analyzing large time series neural data in order to model brain mechanisms in the memory process. EDUCATION
Ph.D., Systems Engineering Expected Dec 2021
Boston University, Boston, MA, USA
GPA: 3.77/4.0
B.Sc., Aerospace Engineering Sep 2011 - Sep 2015
Sharif University of Technology, Tehran, Iran
GPA: 3.95/4.0
RESEARCH EXPERIENCES
Ph.D. Candidate, Boston University May 2017 - Present
Developed multivariate times series deep learning tools to classify neurons based on coding properties
Developed statistical model identi cation methods based on point process generalized linear models
Collaborated with team of 6 to perform neural encoding of rat hippocampus and prefrontal cortex neurons for the spatial memory task
Created a set of e cient spline functions for analyzing neural data Graduate Research Assistant, Image and Video Computing Lab, BU Sep 2016 - May 2017
Led group of 4 to employ character-level language models (CNN and LSTM) to predict gender from Facebook statuses of 3.5 million users
Implemented regression, gradient boosting and random forest for house price estimation with team of 3 Research Assistant, Sharif University of Technology Jan 2015 - Sep 2015
Designed and simulated a self-tuning PID controller in collaboration with 3 graduate students
Led team of 5 to implement classical control for reusable launch vehicles TEACHING EXPERIENCES
Graduate Teaching Assistant, Boston University, USA Jan 2018 - Dec 2018
Lectured 16 students in 4 sessions schedule covering ight mechanics and control, ME Department
Designed assignments for 70 graduate students in deep learning class, ECE Department Teaching Assistant, Sharif University of Technology, Iran Sep 2014 - Dec 2014
Taught automatic control to over 40 students, AE Department SKILLS
Theoretical Skills: Advanced deep learning & machine learning, Statistical system modeling and anal- ysis, Algorithm, Optimization methods, Parallel computing big data analysis, Stochastic process
Programming: C++, Python, R, MATLAB, SQL, AWS, Bash Scripting
Data Analysis Tools: TensorFlow, Keras, Scikit-learn, Pandas, NumPy, Tableau