Category Archives: Seminars

Seminar: “Through Functional Genomics to Drug Discovery”

When: 15-12-2015 12:30
Where: TPOC-3, Room 408

We are glad to invite you to a seminar by Dr. Yuri Kotelevtsev, titled “Through Functional Genomics to Drug Discovery”

When: December 15, 2015, 12.30 – 14.00
Where: TPOC-3, Room 408

Seminar abstract

Understanding of human hereditary diseases was a one of the key drivers for Human Genome Project. Investigation of monogenic and poloygenic disorders significantly influensed the process of drug discovery. Our work in modelling of human mutations associated with hormone dependant hypertention in apparent mineralocorticoid excess syndrome identified 11 beta hydroxysteroid dehydrogenase (11 -HSD 1 ) as a drug target for treatment of metabolic syndrome. Knockout of  11 -HSD 2 provided an animal model for fulminant atherosclerosis and cardiac hypertrophy leading to heart failure. Investigation of mice with conditional tissue specific knock out of endothelin receptors A and B was essential for the development of new generation of endothelin antagonists for treatment of pulmonary hypertension. At present RNAi and CRISPR/Cas9 technologies opens new fascinating opportunity for intervening in essential pathways involved in systemic disorders. The field of drug targets was expanded from merely proteins to mRNA and non coding RNAs including abundant class of long non coding lncRNA. Current research on functional genomics of lncRNA and selected signalling pathways in the liver will be presented.

Speaker introduction

KotelevtsevYuri Kotelevtsev graduated from Biology department of MSU in 1978. Soon after getting his PhD in bio-organic chemistry he studied genetics and cellular mechanisms of cardiovascular disease. While working in College de France in 1990-92 he discovered the first genetic linkage in human essential hypertension with angiotensinogen gene.
From1992 till 2014 he conducted his research in the University of Edinburgh, Scotland, where he generated several transgenic mouse models which not only contributed to understanding of hormone dependent hypertension and metabolic syndrome, but also led to the development of a new drug for treatment of type 2 diabetes, based on 11 -HSD1 inhibitors. In 2010 he was awarded a prestigious Megagrant by Russian Government and since 2014 he is Associate Director of Functional Genomics Centre for Research Education and Innovation, Skoltech, Moscow. His research interests are in animal models of hypertension, atherosclerosis and metabolic syndrome.

Seminar: “Colliding Stellar Winds and Unconventional Reservoirs: What is in Between?”

When: 03-12-2015 13:30
Where: TPOC-3, Room 408

We are glad to invite you to a seminar by Dr. Artem Myasnikov, titled “Colliding Stellar Winds and Unconventional Reservoirs: What is in Between?”

When: December 03, 2015, 13.30 – 15.00
Where: TPOC-3, Room 408

Seminar abstract

Dr. A. Myasnikov will present his 10 best publications which, being  gathered together, would hopefully let people feel the power of modern continuum mechanics as he understands it himself. Artem spent 30 years in study how to apply continuum mechanics methods to fundamental and applied problems of Fluid mechanics, Hydrodynamic stability, Computational Astrophysics, Wave propagation, Geomechanics, Reservoir testing and Simulation. What he have learned from that study is, while solving a specific problem, one has to identify at first intrinsic interconnection of the phenomenon under consideration with other phenomena, which may be (and it is better if they are) attributed to very different fields of knowledge. Then, to use this interconnection for a selection of a specific solution method from a huge arsenal of modern applied mathematics. Among examples on how its work  Dr. Myasnikov will present:

  • Application of linear stability analysis for interpretation of some numerically unstable results;
  • Modification of the system of MHD equations to consist with solenoidality condition for initial magnetic field;
  • Explanation why stars with week magnetic field eject a dipole-like shaped matter;

Development of the REV concept for unconventional reservoirs and others.

Speaker introduction

Dr. A. Myasnikov is a Principal scientist at Center for Hydrocarbon Recovery, Skoltech. He graduated from Moscow State University named after M.V. Lomonosov, Mechanical and Mathematical department, in 1986. He was lucky to attend there courses and seminars lead by classics of Russian mathematics and mechanics (A.N. Kolmogorov, P.S. Aleksandrov, L.S. Pontryagin, L.I. Sedov, A.Yu. Ishlinsky, Yu.N. Rabotnov, A.A. Ilyushin) and was afforded a honor of personal communication with them. He defended MSc in mechanics in 1986 (“Transfer equations for fully ionized plasma in strong magnetic fields”); PhD in mechanics (“Interaction of two supersonic radial gas flow”) in 1991 and DSc in mechanics (“Supersonic sources in cosmic gas dynamics”) in 2004. Dr. Myasnikov worked 18 years at Ishlinsky Institute for Problems in Mechanics RAS; also used to work at Keldysh Institute for Applied Mathematics RAS,  Uppsala Observatory, Paris Observatory, Kobe University and in several industrial companies (Spectraseis, Schlumberger, LUKOIL). Awarded by a prize of the National Committee of Theoretical and Applied Mechanics for outstanding works in hydrodynamic stability and turbulence (2000). Complete information on A. Myasnikov (full list of publications, lectures, courses etc.) is available at: http: //istina.msu.ru/profile/AVMyasnikov/

Workshop: «New Solutions in the Oil and Gas Reservoir Simulation – Time of the Artificial Intelligence Systems»

When: 30-10-2015 12:00
Where: TPOC-3, Room 403

The Center for Hydrocarbon Recovery of the Skolkovo Institute of Science and Technology together with the Moscow Research Center of Schlumberger invite all interested professionals and students to the workshop: «New Solutions in the Oil and Gas Reservoir Simulation – Time of the Artificial Intelligence Systems»

to discuss the following ideas

  • The main goals of geological and hydrodynamic modeling primarily relate to the reserves estimation, reservoir development planning, increased and enhanced oil recovery techniques implementation, risk and decision made effectiveness assessment which can be achieved using the Artificial Intelligence Systems (AIS) based on the set of (ideally all) well-known mathematical models: deterministic, stochastic, intuitive, adaptive, etc.;
  • The amount of initial information in the oil and gas industry is increasing significantly, both because of the accumulation of historical data, and applying the smart equipment generating in real time terabytes of new data about wells and pipeline systems («Big Data»);
  • Creating databases for the geological and hydrodynamic models of oil and gas reservoirs according to the regulation policy, it is the original and important element in creating of AIS;
  • Strengths of the deterministic models which are the mathematical basis of the modern reservoir simulation software are the physically and mathematically justified solutions. It is necessary to further develop the deterministic models with the help of their physical content approximation to the reality and the improvement of their productivity through advanced computational tools. Weaknesses of the deterministic models are the lack of the consideration of accuracy and incompleteness of the initial information;
  • The non-deterministic models (stochastic, intuitive, adaptive, phenomenological, self-organizing dynamic, proxy, or black box models using in varying degrees the neural, Bayesian, Markov and fuzzy logic networks) can assimilate in principle all types of the initial information including a secondary one obtained by self-studying. Creating and validation of such type of models for the reservoir simulation is a vital task;
  • AIS should include both the deterministic models and the non-deterministic ones. The advantages of the non-deterministic models are the fact that they are formed on the basis of the integrated analysis of all available information in databases and can be adapted to these databases as a result of self-studying.


Date, time and venue of the workshop:

  • October 30, 2015 (Friday), from 12-00 to 16-00
  • Skolkovo Innovation Center, Skolkovo Institute of Science and Technology, Nobel str. 3, room 403


Agenda оf the workshop:

Dima Workshop
Contact person for the registration of the workshop participants:

Dmitry Tyagusov – , (495) 280-14-81 (ext. 3225)

Seminar: “Observing and understanding oceanic processes with satellite and in SITU measurements, and with ocean models”

When: 09-11-2015 13:30
Where: TPOC-3, Room 408

We are glad to invite you to a seminar by Dr. Denis Volkov, titled “Observing and understanding oceanic processes with satellite and in SITU measurements, and with ocean models”

When: November 09, 2015, 13.30 – 15.00
Where: TPOC-3, Room 408

Seminar abstract

The last 20+ years have seen a great progress in our ability to observe and ultimately understand oceanic processes and phenomena. This has happened due to (i) the advent of high-accuracy dedicated oceanographic satellite missions that measure sea level, gravity, sea surface temperature and salinity, surface winds etc., (ii) the implementation of nearly global ocean observing systems, such as the drifter and Argo programs, and of course (iii) advances in computing power and associated development of sophisticated ocean models. During the seminar I will provide an overview of my own most recent research on ocean dynamics. The primary focus will be on sea level changes in the regions that have the largest contribution to the global mean sea level rise with an emphasis on likely deep-ocean warming, and on the synoptic to interannual variability of sea level and circulation in the Arctic Ocean, in the North Atlantic, and in the Mediterranean and Black Seas.

Speaker introduction

Фото_ДенисDr. Denis Volkov is a physical oceanographer with research interests in space-borne observations of sea level and ocean circulation, analysis of ocean
dynamics using observations and general circulation models, high-latitude oceanic processes, and role of the ocean in climate variability.
Dr. Volkov obtained M.Sc. degree with honors from Saint-Petersburg State University (Russia) in 1999. From 2000 to 2004 he was employed by the Royal Netherlands Institute for Sea Research and he obtained Ph.D. from Utrecht University (Netherlands, 2004) under the supervision of Dr. Hendrik van Aken and Prof. Will de Rujiter. In 2005 – 2009 he was as a postdoctoral researcher, initially at C.L.S. Space Oceanography Division in Toulouse (France), and then at NASA Jet Propulsion Laboratory, California Institute of Technology (USA), under the supervision of Dr. Lee-Lueng Fu. In 2009-2013, Dr. Volkov was an Assistant Researcher at Joint Institute for Earth System Science and Engineering, University of California Los Angeles, affiliated to Jet Propulsion Laboratory. From 2013 to present, he has been working as an Associate Scientist at NOAA Atlantic Oceanographic and Meteorological Laboratory (Miami, USA). Dr. Volkov is a member of the NASA Ocean Surface Topography Science Team and he is the PI and Co-PI on several NASA-sponsored projects in physical oceanography.

Seminar: New quantization methods for extreme compression of high-dimensional vectors

When: 15-10-2015 12:00
Where: Skoltech, TPOC-3, Room 407
15.10.2015 / 12:00
TPOC-3,
Rm. 407

CDISE Seminar:

“New quantization methods for extreme
compression of high-dimensional vectors“

Prof. Victor Lempitsky
(Assistant professor, Skoltech)
Curriculum Vitae
Abstract/Poster
  Victor-Lempitsky

Refreshments will be provided.

Non-Skoltech attendees should request access to the building in advance by sending their passport details to .

Seminar: Predictive Modeling: Methods and Applications

When: 27-08-2015 13:30
Where: Room 423, TROC-3
Predictive modeling in social networks. Image courtesy of Wikipedia under creative commons license

Predictive modeling in social networks. Image courtesy of Wikipedia under creative commons license (click on image to enlarge)

We invite you to a seminar on Predictive Modeling: Methods and Applications, with guest speaker Prof. Vladimir Spokoiny.

When: August 27, 2015, 13.30 – 15.00

Where: Room 423, TROC-3

Seminar Abstract

The talk explains some methods of modeling and production for complex systems based on the idea of structural adaptation.

The unknown structure of the underlying model is recovered from the data and used for its estimation, modeling, and prediction.

The methods are illustrated by several applications: medical fMRI imaging, pharmacokinetics, DNA analysis, clustering and classification, cognitive studies, pricing of American options, among others.

 

Prof. Vladimir Spokoiny

Prof. Vladimir Spokoiny (click to enlarge photo)

Speaker Introduction

Brief bio:

– PhD from Lomonosov U. Moscow in mathematics 1988

– habilitation in mathematics at Humboldt U. Berlin 1996

– since 1999 researcher in IITP RAS Moscow

– since 1993 researcher in Weierstrass Institute Berlin

– since 2000 head of research group in Weierstrass Institute Berlin

– since 2002 professor at Humboldt U. Berlin in mathematics and economy

– since 2011 professor at MITP Moscow, head of research group Premolab created by megagrant of the Russian government

– since 2012 professor of mathematics at Lomonosov U Moscow

– since 2014 Head of Sector N7 at IITP RAN

– since 2014 professor at HSE Moscow with the faculty of computer sciences, academic head of the master program MMOS.