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About David Chiang

As the Founder of Sage-N Research, David has over 30 years of business development, marketing and engineering experience. Before founding Sage-N Research , he was employed by Xilinx, Inc., the world leader in the Field Programmable Gate Array (FPGA) industry where he headed the Strategic Marketing Group and successfully launched the Virtex-2 product family, after heading the IC Design Engineering Group in the CPLD Division. Before joining Xilinx, he was a Senior Design Engineer for Altera Corporation, as well as for the Research Laboratory of Fairchild Semiconductor. He is the inventor and co-inventor of 31 U.S. patents and numerous international patents, and holds BS and MS degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology.

Explained: Mathematics of Irreproducible Proteomics

Sep 28, 2018

Was this article helpful?Proteomics would be ten times more successful if results are precise and trustworthy instead of imprecise or irreproducible. We explained precise raw spectra analysis [click here] using...

Solved: Raw Spectra Analysis for Clinical Proteomics

Sep 26, 2018

Was this article helpful?We recently discovered a surprisingly fast and robust method for raw spectra analysis (RSA). For the first time, it allows clinically important LAMPs (low abundance modified peptides)...

Intuitive Breakthrough for Protein Mass Spectrometry

Jun 2, 2018

Was this article helpful?Tandem mass spectrometry (MSMS) is a revolutionary game-changer in a changing world. But it’s being held back by weak math and computing, the foundation of the new...

How Bad Analytics Hijacked Proteomics: A Theoretical Analysis

Oct 18, 2017

Was this article helpful?The fixable reason why proteomics has little clinical impact — it’s big data mis-analyzed by small PCs using faulty analytics. Here we explain how proteomics has been...

Precision Proteomics: How to Unlock Its Unlimited Potential

Sep 24, 2017

Was this article helpful?“Data is not information, information is not knowledge, knowledge is not understanding, understanding is not wisdom.” — Clifford Stoll How do you tell the world’s best minds...

Meta-Math for Precision Low-Abundance Proteomics Explained

Jul 19, 2017

Was this article helpful?You can’t solve Sudoku with statistics. Same with proteomic peptide identification, it turns out. Current workflows contain the subtle math bug of using statistical models too early,...

How Simple Math is the Secret to Precision Proteomics

Apr 13, 2017

Was this article helpful?Let’s say you have some data-points (x,y) in a file. Without looking, you can force a linear regression and calculate a slope. Or you can blindly fit...

SorcererScore™ for Identifying Spliced Peptides in Immunology

Mar 21, 2017

Was this article helpful?“Data analysis”, often trivialized by those who don’t understand deep data, can vary from trivial to extremely difficult. Analyzing mass spectrometry (MS) data is fundamentally solving math...

Why Scripts for Precision Proteomics of Hybrid Mixtures

Mar 13, 2017

Was this article helpful?While “1.0” focused on instrumentation, “Proteomics 2.0” — aka Precision Proteomics — is about application, particularly for translational clinical research. As such, the emphasis shifts from acquisition...

Low-Abundance Peptides Are Everywhere in Proteomic MS1 Scans

Feb 7, 2017

Was this article helpful?Proteomics mass spectrometry holds unlimited potential for translational “bench-to-bedside” medical research, but until now it lacked 3 must-haves: robustness, sensitivity, and verifiability. Clinical impact requires dependable analysis...

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