Alejandro W. Email & Phone Number

Redmond, Wa, Us

Redmond, Washington, Us

Redmond, Washington, Us

Bothell, Washington, Us

Seattle, Wa, Us

Research Interests:Proteomics and Biology: The development and application of novel quantitative proteomics tools, such as mass spectrometry and lysate microarrays. Study of cellular signaling dynamics, receptor tyrosine kinase mediated pathways, and the molecular mechanisms of cancer and Alzheimer Disease.Computational Biology: The application of established techniques such as neural networks, statistical models and bayesian inference to mine biological datasets, extract the topology of cellular signaling networks, and understand their role in determining cell phenotype in order to predict potential drug targets.

Cambridge, Massachusetts, Us

Advisor: Gavin MacBeathDescription: Conducted systematic data rich studies in order to understand the role of different receptor tyrosine kinases families in controlling cell signaling networks and determining their dynamic topology. Cloned six receptor tyrosine kinases and generated six novel cell lines using Invitrogen Flp-In Technology.  Designed and applied a large-scale screen of commercially available antibodies for their use in lysate microarray experiments.  Validated shRNA reagents for the knockdown of proteins related to cellular signaling. Designed and performed large-scale lysate microarray experiments, collecting over 500,000 independent data points for the elucidation of cellular signaling pathways downstream of six different receptor tyrosine kinases. Designed and performed in vivo studies to elucidate protein expression and signaling along with the induction of tumor growth by cells expressing different receptor tyrosine kinases. Used Bayesian Inference and information theory to analyze dynamic signaling networks topology and drug resistance as function of RTK expression.

Cambridge, Ma, Us

Advisor: Douglas Lauffenburger and Forest WhiteDescription: Develop mass spectrometry based methodologies to identify and quantify cellular phosphorylation events downstream of receptor tyrosine kinase activation. Specifically In particular examined how EGFR family mediated signaling controls cell phenotype. Developed and tested antibodies against EGFR ectodomain to inhibit signaling. (Patent Accepted) Designed and applied a novel mass spectrometry technique to quantify tyrosine phosphorylation temporal dynamics of complete pathways. Tested on the EGFR pathway.  Coupled mass spectrometry based quantitative phosphorylation studies, phenotypic response experiments and high throughput data analysis studies to better understand intracellular signals leading to different outcomes under different conditions. Expanded mass spectrometry techniques for high throughput proteomics from information dependent acquisition (IDA) mode to multiple reaction monitoring mode (MRM) to obtain more robust data and high reproducibility across many biological conditions.

Santiago, Cl

Phd, Bioengineering

Data Scientist, Data Science

Postdoctoral Fellow, Systems Biology

Engineer, Biotechnology Engineering