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Amit Shavit

Technology Associate @ Thomson Reuters

Technology Associate at Thomson Reuters

New York, New York

Ranked #569 out of 11,373 for Technology Associate in New York

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Amit Shavit's Email Addresses & Phone Numbers

Amit Shavit's Work Experience

Thomson Reuters

Technology Associate

August 2015 to Present

University of Pennsylvania

PhD Candidate

September 2010 to June 2015

University of Massachusetts Amherst

Research Assistant

September 2007 to May 2010

Amit Shavit's Education

University of Pennsylvania

Doctor of Philosophy (Ph.D.) Chemical and Biomolecular Engineering

2010 to 2015

University of Massachusetts, Amherst

BS Chemical Engineering

2006 to 2010

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About Amit Shavit's Current Company

Thomson Reuters

The Technology Associates Program is a highly selective rotational program for recent PhD graduates aimed at developing technology leadership and innovation within the company. For more information about the program, please visit http://thomsonreuters.com/content/dam/openweb/documents/pdf/careers/tr-technology-associates-program-fact-sheet.pdf First Rotation in Legal: Redefining Legal Service Delivery Models Using Big Data Technologies • Researched cutting-edge machine learning algorithms for classification and association of...

Frequently Asked Questions about Amit Shavit

What company does Amit Shavit work for?

Amit Shavit works for Thomson Reuters


What is Amit Shavit's role at Thomson Reuters?

Amit Shavit is Technology Associate


What is Amit Shavit's personal email address?

Amit Shavit's personal email address is s****[email protected]


What is Amit Shavit's business email address?

Amit Shavit's business email addresses are not available


What is Amit Shavit's Phone Number?

Amit Shavit's phone (212) ***-*125


What industry does Amit Shavit work in?

Amit Shavit works in the Information Technology and Services industry.


About Amit Shavit

📖 Summary

I joined Thomson Reuters on August 2015 as part of the Technology Associates Program -- a highly selective rotational program for recent PhD graduates aimed at developing tech leadership and innovation within the company. My first rotation is in TR Legal, where I play with machine learning algorithms to build and integrate into a new TR product. I graduated with my PhD in chemical and biomolecular engineering from University of Pennsylvania in June 2015, where I focused on computational techniques (high performance computing, large-scale data analysis, massively parallel codes) to investigate polymers at the molecular level. I enjoy learning new methods & technologies to solve difficult problems and provide insight to practical applications. My résumé can be found on my personal website [http://shavitamit.github.io]. Specialties: C/C++, Python, BASH & Linux/Unix, OpenMP, CUDA, Parallel Computing, d3.js, Data Visualization, Hive, Jave (some), LAMMPS, GROMACS, Mathcad, Mathematica, Maple, FlowJo, Aspen, MATLAB, MS Office Suite, xHTML, CSS, Javascript, PHP, Wordpress, Adobe Photoshop, Illustrator, and Dreamweaver CS4.Technology Associate @ The Technology Associates Program is a highly selective rotational program for recent PhD graduates aimed at developing technology leadership and innovation within the company. For more information about the program, please visit http://thomsonreuters.com/content/dam/openweb/documents/pdf/careers/tr-technology-associates-program-fact-sheet.pdf First Rotation in Legal: Redefining Legal Service Delivery Models Using Big Data Technologies • Researched cutting-edge machine learning algorithms for classification and association of legal documents for integration into a new product in TR Legal • Developed an architectural understanding of existing technologies within TR Legal. Found ways to leverage such technologies for this new product Independent Collaboration with R&D NY: Social Network Research and Analysis • Researched and developed algorithms to analyze the social network “StockTwits” • Utilized big data technologies such as Hive and Python Pandas to facilitate analysis of massive amounts of data • Submitted a manuscript detailing the results of this study to “WWW 2016”—a first tier conference in this field From August 2015 to Present (5 months) PhD Candidate @ • Developed serial and parallel novel algorithms to analyze confined glassy polymers using Molecular Dynamics and Monte Carlo simulations • Investigated glass-forming polymers in free-standing films, in supported films, and in pillar geometries • Gained expertise in C/C++, Python, MATLAB, Bash, Linux, and parallelization using OpenMP and CUDA • Published five first author papers in reputable journals and presented research in 17 local and national presentations Publications: Shavit, A., and Riggleman, R.A. (2015). The dynamics of unentangled polymers during capillary rise infiltration into a nanoparticle packing. Soft Matter, 11(42), 8285-8295. Shavit, A., and Riggleman, R.A. (2014). Physical Aging, the Local Dynamics of Glass- Forming Polymers Under Nanoscale Confinement. Journal of Physical Chemistry B, 118(30), 9096–9103. Shavit, A., and Riggleman, R.A. (2014). Strain Localization in Glassy Polymers Under Cylindrical Confinement. Physical Chemistry Chemical Physics, 16(22), 10301–10309. Shavit, A., and Riggleman, R. A. (2014). Influence of Backbone Rigidity on Nanoscale Confinement Effects in Model Glass-Forming Polymer. Macromolecules, 46(12), 5044–5052. Shavit, A., Douglas, J., and Riggleman, R. A. (2013) Evolution of Collective Motion in a Model Glass-Forming Liquid During Physical Aging. Journal of Chemical Physics, 138(12A528), 1–6. Link to a talk I gave at U. Penn iTalks 2014 which won the Audience Favorite Award: http://goo.gl/5t3fsV From September 2010 to June 2015 (4 years 10 months) Research Assistant @ • Proposed and developed a multi-parameter study on Taxus cuspidata cell cultures • Correlated genomic stability with DNA and protein content, cell size and complexity, and elicitation effects using multi-parameter flow cytometry, and presented my results in a formal paper to faculty • Successfully optimized and reduced the time of a Taxus staining protocol by 75 percent From September 2007 to May 2010 (2 years 9 months) Summer Research Assistant @ • Researched the wettability and anchoring of nematic liquid crystals (LCs) at the solid/LC interface using a two-component mixture of ocatdecyltriethoxysilane (C18) and ethyltriethoxysilane (C2) • Utilized contact angle goniometry, variable-angle ellipsometry, and formation of LC cells to characterize and model the two-component mixture samples • Successfully reduced the contact angle by over 50 percent without sacrificing perpendicular anchoring • Prepared a poster for the chemical engineering department and formulated a final report for Prof. Schwartz and his research group, as well as the program administrators • Placed third in the poster competition and awarded to present the poster in the national AIChE conference on November 9, 2009 Publications: Noonan P.S., Shavit A., Acharya B. R., and Schwartz D. K. (2011). Mixed Alkylsilane Functionalized Surfaces for Simultaneous Wetting and Homeotropic Anchoring of Liquid Crystals. ACS Applied Materials & Interfaces, 3(4374), 4374–4380. US Provisional Patent Application #61/537,943, filed 9/22/2011. “Mixed Alkylsilane Functionalized Surfaces for Simultaneous Wetting and Homeotropic Anchoring of Liquid Crystals” From June 2009 to August 2009 (3 months) Summer and Winter Intern @ • Researched impurities clearance and product yield in multiple reuse Protein A chromatography media • Quantified DNA and HCP levels using standard PicoGreen and ELISA assays • Developed and optimized a new protocol to clarify and characterize Chinese Hamster Ovary (CHO) cells directly from the reactor • Summarized results in two papers published within company • Presented findings to members of the chromatography department using PowerPoint From June 2008 to August 2008 (3 months) Doctor of Philosophy (Ph.D.), Chemical and Biomolecular Engineering @ University of Pennsylvania From 2010 to 2015 BS, Chemical Engineering @ University of Massachusetts, Amherst From 2006 to 2010 Amit Shavit is skilled in: Matlab, Mathematica, Python, C, C++, MathCAD, Microsoft Office, Photoshop, Aspen, Bash, Big Data


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In a nutshell

Amit Shavit's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

1 year(s), 8 month(s)

Amit Shavit's Willingness to Change Jobs

Unlikely

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