Alex Bujan's Email Addresses & Phone Numbers

Undergraduate Researcher @ Instituto Cajal, CSIC - Collected and analysed neural data From January 2008 to September 2008 (9 months) Madrid Area, SpainInsight Fellow @ Insight Data Science • Created a web app to identify cancer lesions in ultrasound images• Built an image segmentation tool using deep learning (convolutional networks) and image processing that achieved 0.61 pixel...

Undergraduate Researcher @ Instituto Cajal, CSIC - Collected and analysed neural data From January 2008 to September 2008 (9 months) Madrid Area, SpainInsight Fellow @ Insight Data Science • Created a web app to identify cancer lesions in ultrasound images• Built an image segmentation tool using deep learning (convolutional networks) and image processing that achieved 0.61 pixel F1 score on test images• Implemented deep learning models using Keras-Theano and performed training/optimization on Amazon AWS GPU nodes• Developed an interactive web app using Flask, Bootstrap, jQuery, and AWS• Created a mental health monitoring tool using NLP, SVMs and deep learning (word2vec and recurrent networks) to evaluate mental health from free unstructured text. Validated the models using comments scraped from mental health forums using Python From September 2016 to February 2017 (6 months) San Francisco Bay AreaPostdoctoral Researcher @ UC Berkeley • Developed novel ICA methods to reduce biases in the feature extraction of biomedical time series and image data• Applied machine learning methods (ICA, sparse coding, SVMs) and signal processing tools to predict uttered speech from brain electrical signals• Implemented Python-MPI tools to perform efficient Bayesian hyper-parameter optimization in HPC environments• Optimized novel framework for efficient regularized regression/classification using ensemble methods to be deployed on 1,000+ compute nodes and applied to 100+ GB datasets using Python and MPI/Spark frameworks• Reviewed articles for scientific-engineering journals• Supervised undergraduate students From February 2015 to September 2016 (1 year 8 months) San Francisco Bay AreaDoctoral Researcher @ University of Freiburg •Performed large-scale numerical simulations of biological neural network models using Python/C++ to evaluate the effect of topology on network dynamics• Implemented software using signal processing, graph theory, and mean field models to evaluate the dynamics of neural networks and the communication between different brain regions• Supervised undergraduate level students in building biophysical models of neural networks• Published articles in high impact scientific journals• Taught fundamentals of scientific programming and dynamics of biological neural network models• Organized scientific events From April 2010 to January 2015 (4 years 10 months) Freiburg Area, GermanyVisiting Scientist @ EPFL • Performed large-scale simulations of biophysical neural networks• Applied data mining and signal processing techniques to the analysis of neural data From January 2013 to March 2013 (3 months) Lausanne Area, SwitzerlandSenior Data Scientist @ Apple Cupertino, California, United StatesData Scientist @ Apple • Applied data mining, statistical analysis, and data visualization techniques to help understand how users interact with Apple products.• Designed and evaluated experiments that helped define features to improve Siri for international languages.• Developed and analyzed user metrics to extract information useful to improve Apple products.• Worked and iterated with annotators to label data used in actual production and experimental datasets.• Proposed features and product changes backed by well defined experiments and data analytics. From March 2017 to March 2020 (3 years 1 month) Cupertino