Geoff Davis

Geoff Davis

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Experience

Mountain View, CA
2017–present
Staff Data Scientist, Google Research
Mountain View, CA
2014–2017
Staff Data Scientist
  • Tech lead responsible for the development and implementation Verily's pipelines for QA and processing of RNA-Seq data.
  • Devised and implemented a novel algorithm for estimating levels of DNA contamination in RNA-Seq data.
Mountain View, CA
2012–2014
Staff Data Scientist, Search Infrastructure
2007–2012
Staff Quantitative User Experience Researcher, Google AdWords
San Francisco, CA; Raleigh, NC
Collected Insight
2001–2013
Founder
San Francisco, CA
4charity
2000–2001
Senior Software Engineer
 
Redmond, WA
1998–1999
Researcher / Software Engineer, Semantic Platform Group
Houston, TX
1997
Texas Instruments Visiting Assistant Professor, ECE Department
 
Hanover, NH
1996–1998
Assistant Professor, Mathematics Department
1994–1996
John Wesley Young Research Instructor, Mathematics Department
New York, NY
Corporate Communication Group
1992
Senior Programmer, Interactive Technologies

Geoff Davis — Page 2

Education

New York, NY
1989–1994
Ph.D., Mathematics, Courant Institute
Oxford, UK
1986–1987
Visiting Student, St. Peter's College
 
Durham, NC
1984–1988
B.S., Mathematics

Languages

Awards

Professional Activities

Geoff Davis — Page 3

Selected Publications

From Google Applied Science

Postdoctoral Training

Recent reports have called for changes to the training of postdoctoral scientists and engineers. We examined the hypothesis that the practices advocated make a measurable difference in the experiences and productivity of postdoctoral researchers using data from a large-scale survey.

Nonlinear Wavelet Transforms

We examine the central issues of invertibility, stability, artifacts, and frequency-domain characteristics in the construction of non-linear analogs of the wavelet transform.

Wavelet-based Image Coding: An Overview

Multiwavelet Constructions

Lifting provides a simple method for constructing biorthogonal wavelet bases; we generalize lifting to the case of multiwavelets.

Science Policy

Significance Tree Quantization

We explore a generalization of several recent compression methods called significance tree quantization (STQ).

Joint Source and Channel Coding

We describe a joint source/channel allocation scheme for transmitting images lossily over a block erasure channel such as the Internet with the goal of reducing image transmission latency.

A Wavelet-Based Analysis of Fractal Image Compression

Recipient of the 2000 IEEE Leon K. Kirchmayer Prize Paper Award

We introduce a new wavelet-based analytical framework for block-based fractal compression schemes.

Adaptive Greedy Decompositions

We examine the problem of decomposing functions over redundant dictionaries of waveforms.

Author: Geoff Davis