Sergey Fridrikh, PhD

978-***-****

sww39y@r.postjobfree.com

Skills and Experience:

• Prior algorithm development and data analysis experience in biotechnological industry.

• Extensive experience of quantitative research in physics at top US and European universities.

• Strong quantitative skills along with strong programming skills (Matlab, C#, Mathematica, C, SQL).

• Experience working with numerical/statistical methods including usupervised learning, Bayesian approach, hypothesis testing, ordinary differential equations etc.

• Hands on experience working with large data sets (millions to billions of data points).

• Very strong programming experience in Matlab.

• Ability to learn quickly new concepts and ideas and to apply them creatively to solve complex analytical problems. Ability to work effectively and productively both as a team member and independently and to adapt quickly to new environments.

Professional experience:

Data Analysis and Bioinformatics Group, U.S.Genomics, Woburn MA 2005-2009

Senior Scientist

• Developed unique unsupervised learning / hypothesis testing technique to analyze optical traces of DNA fragments labeled with sequence specific fluorescent tags.

• Developed statistical data analysis method and created prototype software for fluorescently tagged miRNA/protein/DNA assay.

• Performed data analysis and experiment planning for several experimental teams.

• Used the developed software tools for precise diagnostics of experimental problems.

• Contributed to development of diagnostic methods including strain differentiation and antibiotic resistance profiling of Staph. aureus.: Bayesian analysis, phylogenetic trees.

• Presented results at reviews for funding agencies/business partners.

Safety & Security Solutions Inc. / Duke Energy 2003-2004

Senior Scientist

• Developed numerical model of liquid-liquid Pu and U extraction at the chemical plant.

• Analyzed kinetics of chemical components in the process of extraction and separation of Pu & U (PUREX process).

• Developed strategy of experimental research to test the PUREX process model and to evaluate the conditions for the safe operation of the plant reprocessing nuclear fuel and weapons-grade plutonium.

• Served as a liaison between Duke Energy and MIT ChemE Department.

Department of Chemical Engineering, MIT 2001-2004

and Department of Engineering and Applied Sciences, Harvard University

Senior Research Associate/Research Affiliate

• Created numerical models of electrically driven complex fluid jets. The models describing dynamic behavior of the charged polymer fluid jets and the size of the resulting nanofiber are now recognized as a classical result in the field of electrospinning (UNIX, Matlab).

• Supervised award winning Ph.D./M.Sc. projects on nanofibers production technology.

Chemistry Department, Dartmouth College, Hanover, NH, USA 1999-2001

Research Associate

• Designed and implemented a program predicting phase behavior and phase separation of polymer fluids and mixtures utilizing integral equation techniques (Digital UNIX, C).

Cavendish Lab., Cambridge University, Cambridge, United Kingdom 1996-1999

Research Associate

• Employing methods of solid state physics developed a theory of polydomain-monodomain transition in nematic liquid crystalline elastomers and gels explaining their mechanical and optical properties.

• Created a numerical model of light propagation in multilayered polymer films with non-linear optical properties (UNIX, Mathematica).

• Supervised development of a novel material with nonlinear optical properties for high frequency optical signal modulators.

Polymer Physics Lab., Universite du Maine, Le Mans, France 1994-1995

Research Associate

• Developed a theory of linear viscoelastic properties of concentrated suspensions of swollen latex particles. Performed calculations of elastic modulus of polymer latex gel (Mac, Matlab). Supervised a Ph. D. project on latex rheology.

Education:

1989 M.Sc. in physics (GPA 3.7) Leningrad State University, Department of Physics, Leningrad, Russia.

1992 Ph.D. in statistical physics (GPA 4.0). Institute of Macromolecular Compounds, Russian Academy of Sciences, St. Petersburg, Russia.

Teaching

• Lectured “Introduction into computing”, Fall 2001& 2002 at MIT Engineering School.

• Taught classes on mechanics, optics, statistical physics, material science at Cambridge University, 1997-99.

Other

US citizen. Languages: English, Russian, French.

1 issued patent, 3 patent applications, over 25 conference presentations, over 20 scientific papers, one invited review, one book chapter.

References and list of publications available upon request.

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