Rafael Valle's Email & Phone Number

💼 Past Experience

Rafael Valle's Work experience:Senior Research Scientist at NVIDIARafael Valle is currently a PhD in Machine Listening and Improvisation (Interdisciplinary PhD) at UC Berkeley from August 2012 to March 2018 (5 years 8 months). Data Hallucination, Verification and Validation with Generative Models and Formal Methods.http://www.cnmat.berkeley.edu/publications/data-hallucination-falsification-and-validation-using-generative-models-and-formal. Research Intern at Gracenote from September 2016 to December 2016 (4 months) in 2000 Powell St #1500, Emeryville, CA 94608. Research and implement deep learning models for style classification using noisy label training, curriculum learning, bayesian hyperparameter optimization, adding gradient noise.Music Structure Segmentation.– Neural Networks, Bayesian Hyperparameter Optimization, Hierarchical Dirichlet Processes, DSP. Scientist Intern, Music Engagement at Pandora from June 2016 to August 2016 (3 months) in 2101 Webster St #1650. Data Science & Music Engineering DepartmentInvestigated segments and scores that describe novelty seeking behavior in Pandora listeners.– Random Forest GLM Hadoop Hive R Python. Visiting Researcher at Columbia University in the City of New York from June 2015 to September 2015 (4 months) in Laboratory for the Recognition and Organization of Speech and Audio (LabROSA). Develop algorithms for beat extraction, local and global key estimation and chord transcription. Data Scientist at Percolata from November 2014 to February 2015 (4 months). Store occupancy prediction– Time series analysis EDA ARIMA STL R Pythonhttp://blogs.wsj.com/venturecapital/2015/01/12/percolata-emerges-from-stealth-with-5m-for-new-sensors-for-retail-stores/. Audio Analyst and Data Scientist at Bay Sensors from May 2014 to August 2014 (4 months). Designed from scratch a machine listening engine to estimate room occupancy and activity from audio
. Increased room occupancy estimation accuracy by designing a sensor fusion (audio, video, wifi) algorithm
. Provided error correction algorithms for vision occupancy estimation.– GLM GMM HMM Python Sklearn Stats-models librosa Matplotlib. Software Engineer at Center for New Music and Audio Technologies from May 2013 to March 2014 (11 months) in Berkeley, CA. Development and Maintenance of externals and patches for CNMAT’s MMJ Depot – C Javascript Max MSP Jitter SQLITE. Backend developer at Center for Information Technology Research in the Interest of Society (CITRIS) from 2013 to 2014 (1 year) in Berkeley. PIC Your FutureBackend development, including computer vision algorithms.

🎓 Education

Rafael Valle's educational background and work readiness have set him apart as an excellent composer and performer. Rafael Valle holds both a Bachelor's degree in Orchestral Conducting and Music Performance from Universidade Federal do Rio de Janeiro and a Master's degree in ComputerMusic from Carnegie Mellon University. Rafael Valle's experience Diseasing and Analyzing Computer Music systems and Programs has helped him develop and understand complex algorithms that can be used to analyze and improve music performance. Rafael Valle has been able tohis work readiness in field of Computational and Data Science through his completed Interdisciplinary PhD at The University of California, Berkeley.Rafael Valle is currently a postdoctoral fellow with the University of California, Berkeley. His main research interests are in the area of machine listening and improvisation, specifically in the area of audio recognition and editing. Rafael Valle is also a performer and composer, having written works for ensembles and soloists.

💡 Technical & Interpersonal Skills

Rafael Valle has a PhD in machine listening and improvisation from UC Berkeley. Rafael has worked as a research scientist at NVIDIAR and has been working with deep learning models and music structure Segmentation for music engagement at Pandora and as a data scientist at Bay Sensors. Rafael is also a visiting researcher at Columbia University in New York City.