Avatar

Noah Luna

Recent MS Graduate Student

Technical University of Munich

Biography

Recent M.S. Graduate from Top-tier University with experience in: developing and implementing Deep Learning algorithms for non-traditional applications, working on collaborative projects with international team, processing and handling time-series data, scientific analysis, and experience working at a renowned laboratory. Open for new opportunities and/or collaborations!

Interests

  • Seismology
  • Deep Neural Networks
  • Learning
  • Algorithms

Education

  • MS in Geophysics, 2019

    Technical University of Munich & Ludwig Maximilian University

  • BA in Geophysics, 2014

    University of California, Berkeley

Recent Posts

Identifying Seismic Waves with Convolutional Neural Networks [Part I]

Introduction Earthquakes are unpredictable. And if you are a Californian Native like me (or happen to live near an active earthquake …
Sep 30, 2019 12 min read

Identifying Seismic Waves with Convolutional Neural Networks [Part II]

In Part I we covered the first steps of our machine learning pipeline: Framing the Problem, Retrieving the Data , Exploring and …
Last updated on Oct 1, 2019 16 min read

Training a Recurrent Neural Network Using Keras

Table of Contents Frame the Problem Get the Data Explore the Data Prepare the Data for Training A Non Machine Learning Baseline …
Sep 5, 2019 16 min read

Code Your Own RNN with NumPy

Table of Contents What is a RNN & How Do They Work? Writting a RNN with NumPy Building a DNN with Keras What is a Recurrent …
Last updated on Aug 15, 2019 10 min read

Projects

*

Removing Noise from Seismic Data with Denoising Autoencoders

From earthquake detection to oil discovery, seismic waves allow us to investigate Earth processes and its interior in ways no other …

Accomplish­ments

Submitted M.S. Thesis: ‘Applications of Deep Neural Networks in Seismology’

Technical University of Munich and the Ludwig Maximilian University Aug 2017 – Oct 2019
We wish to investigate whether DNN could provide an alternative approach to two different problems facing geophysicists: removing noise from time-series data and locating earthquakes. This is an ongoing study with supervisors: Dr. Qingkai Kong of U.C. Berkeley and Prof. Dr. Heiner Igel of LMU Munich.

Developed New Website for CISN

U.C. Berkeley Seismological Laboratory Jan 2016
Updated and created new website for the California Integrated Seismic Network (CISN) using Bootstrap library framework.

Skills

Python

Deep Neural Networks

Scientist

Contact