Noemi A. Profile

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4.8

(9 reviews)

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$120 USD / hour

san francisco,

united states

$120 USD / hour

It's currently 8:41 AM here

Joined December 28, 2010

0 Recommendations

Noemi A.

@atu86

4.8

(9 reviews)

5.2

$120 USD / hour

san francisco,

united states

$120 USD / hour

100%

Jobs Completed

100%

On Budget

100%

On Time

33%

Repeat Hire Rate

Instructor, Computational Biology

My research focuses on understanding the evolution of tumor-cell populations, on how selective pressures, such as those imposed by chemo- and radiation-therapies, favor the survival of one tumor-cell population over the other. Towards this goal I developed algorithms that measure intra-tumor heterogeneity from next-generation sequencing data or from more traditional diagnostic procedures, such as H&E images.

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Reviews

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Showing 1 - 5 out of 9 reviews

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5.0

$90.00 USD

Bonus for ATU_86 on 5/20/2011 9:24:32 PM

Rating: 5.0/5.0

Engineering

Software Architecture

Software Testing

Amal I.

@matlabhelp2011

•

13 years ago

5.0

$350.00 USD

Comparison of signals

As expected, she has performed very well on this project. Although strictly not her area of her expertise, she displayed wonderful analytical skills to bring this project to a closure well within the time period suggested for this project. I would highly recommend this programmer.

Engineering

Software Architecture

Software Testing

Amal I.

@matlabhelp2011

•

13 years ago

5.0

$170.00 USD

Interface to several biological databases(repost)

Rating: 5.0/5.0

Linux

Software Architecture

UNIX

Yves S.

@blurpie

•

13 years ago

5.0

$90.00 USD

Bonus for ATU_86 on 4/12/2011 9:45:45 AM

Rating: 5.0/5.0

Amal I.

@matlabhelp2011

•

13 years ago

5.0

$400.00 USD

Matlab and statistics help needed

A model coder -- not only did she deliver all the code with all the modifications, she kept up to all the deadlines. She has a very deep understanding of modelling, statistics and software applications that she has mentioned in her resume. I highly recommend her work ethic -- timed updates, delivery of waypoints, improving code, making suggestions and strictly adhering to the deadline. I can't recommend a more proficient coder that I have come across. Highly recommended.

Amal I.

@matlabhelp2011

•

13 years ago

Experience

Stanford University School of Medicine, CA

Feb 2015 - Present

Tumor evolution and personalized combination therapies

Stanford University School of Medicine, CA

Mar 2014 - Jan 2015 (10 months, 1 day)

Tumor evolution and personalized combination therapies

Neurological Surgery, UC San Francisco, CA

Nov 2011 - Feb 2014 (2 years, 3 months)

Developed an approach to identify the cellular origin of tumors based on comparative expression profiling to tissue specific non-malignant expression signatures and applied it to classify pediatric brain tumors (ATRTs, Medulloblastomas) to their tissue of origin.

Education

Ph.D. – Computational biology, summa cum laude

Technische Universität München,

Germany

2011 - 2014

(3 years)

Diplom (M. Sc.) in Bioinformatics

Ludwig-Maximilians Universität München,

Germany

2006 - 2010

(4 years)

Qualifications

PROSA-LMU, Munich

2010

For Diploma thesis research abroad.

German Academic Exchange Program (DAAD)

2010

For short term abidance abroad with the aim of thesis accomplishment.

Exhedra Solutions Inc.

2010

As recognition for projects accomplished in software design and data analysis.

Publications

ExPANdS: Expanding Ploidy and Allele Frequency on Nested Subpopulations.

Bioinformatics

Integrated Gaussian mixture models and hierarchical clustering to predict the clonal composition of tumors from sequencing data. The method enabled quantification of intra-tumor heterogeneity and superimposition of patient matched primary and recurrent clonal compositions to identify therapy resistant cell-populations.

Pan-cancer analysis of the extent and consequences of intra-tumor heterogeneity.

Nature Medicine. In print.

Intra-tumor heterogeneity (ITH) drives neoplastic progression and therapeutic resistance. We used EXPANDS and PyClone to detect clones >10% frequency within 1,165 exome sequences from TCGA tumors.