Henry MarkramHenry Markram started a dual scientific and medical career at the University of Cape Town, in South Africa. His scientific work in the 80s revealed the polymodal receptive fields of pontomedullary reticular formation neurons in vivo and how acetylcholine re-organized these sensory maps.
He moved to Israel in 1988 and obtained his PhD at the Weizmann Institute where he discovered a link between acetylcholine and memory mechanisms by being the first to show that acetylcholine modulates the NMDA receptor in vitro studies, and thereby gates which synapses can undergo synaptic plasticity. He was also the first to characterize the electrical and anatomical properties of the cholinergic neurons in the medial septum diagonal band.
He carried out a first postdoctoral study as a Fulbright Scholar at the NIH, on the biophysics of ion channels on synaptic vesicles using sub-fractionation methods to isolate synaptic vesicles and patch-clamp recordings to characterize the ion channels. He carried out a second postdoctoral study at the Max Planck Institute, as a Minerva Fellow, where he discovered that individual action potentials propagating back into dendrites also cause pulsed influx of Ca2 into the dendrites and found that sub-threshold activity could also activated a low threshold Ca2 channel. He developed a model to show how different types of electrical activities can divert Ca2 to activate different intracellular targets depending on the speed of Ca2 influx an insight that helps explain how Ca2 acts as a universal second messenger. His most well known discovery is that of the millisecond watershed to judge the relevance of communication between neurons marked by the back-propagating action potential. This phenomenon is now called Spike Timing Dependent Plasticity (STDP), which many laboratories around the world have subsequently found in multiple brain regions and many theoreticians have incorporated as a learning rule. At the Max-Planck he also started exploring the micro-anatomical and physiological principles of the different neurons of the neocortex and of the mono-synaptic connections that they form - the first step towards a systematic reverse engineering of the neocortical microcircuitry to derive the blue prints of the cortical column in a manner that would allow computer model reconstruction.
He received a tenure track position at the Weizmann Institute where he continued the reverse engineering studies and also discovered a number of core principles of the structural and functional organization such as differential signaling onto different neurons, models of dynamic synapses with Misha Tsodyks, the computational functions of dynamic synapses, and how GABAergic neurons map onto interneurons and pyramidal neurons. A major contribution during this period was his discovery of Redistribution of Synaptic Efficacy (RSE), where he showed that co-activation of neurons does not only alter synaptic strength, but also the dynamics of transmission. At the Weizmann, he also found the tabula rasa principle which governs the random structural connectivity between pyramidal neurons and a non-random functional connectivity due to target selection. Markram also developed a novel computation framework with Wolfgang Maass to account for the impact of multiple time constants in neurons and synapses on information processing called liquid computing or high entropy computing.
In 2002, he was appointed Full professor at the EPFL where he founded and directed the Brain Mind Institute. During this time Markram continued his reverse engineering approaches and developed a series of new technologies to allow large-scale multi-neuron patch-clamp studies. Markrams lab discovered a novel microcircuit plasticity phenomenon where connections are formed and eliminated in a Darwinian manner as apposed to where synapses are strengthening or weakened as found for LTP. This was the first demonstration that neural circuits are constantly being re-wired and excitation can boost the rate of re-wiring.
At the EPFL he also completed the much of the reverse engineering studies on the neocortical microcircuitry, revealing deeper insight into the circuit design and built databases of the blue-print of the cortical column. In 2005 he used these databases to launched the Blue Brain Project. The BBP used IBMs most advanced supercomputers to reconstruct a detailed computer model of the neocortical column composed of 10000 neurons, more than 340 different types of neurons distributed according to a layer-based recipe of composition and interconnected with 30 million synapses (6 different types) according to synaptic mapping recipes. The Blue Brain team built dozens of applications that now allow automated reconstruction, simulation, visualization, analysis and calibration of detailed microcircuits. This Proof of Concept completed, Markrams lab has now set the agenda towards whole brain and molecular modeling.
With an in depth understanding of the neocortical microcircuit, Markram set a path to determine how the neocortex changes in Autism. He found hyper-reactivity due to hyper-connectivity in the circuitry and hyper-plasticity due to hyper-NMDA expression. Similar findings in the Amygdala together with behavioral evidence that the animal model of autism expressed hyper-fear led to the novel theory of Autism called the Intense World Syndrome proposed by Henry and Kamila Markram. The Intense World Syndrome claims that the brain of an Autist is hyper-sensitive and hyper-plastic which renders the world painfully intense and the brain overly autonomous. The theory is acquiring rapid recognition and many new studies have extended the findings to other brain regions and to other models of autism.
Markram aims to eventually build detailed computer models of brains of mammals to pioneer simulation-based research in the neuroscience which could serve to aggregate, integrate, unify and validate our knowledge of the brain and to use such a facility as a new tool to explore the emergence of intelligence and higher cognitive functions in the brain, and explore hypotheses of diseases as well as treatments.
Solomzi MakohlisoTeaching & PhD Courses Development engineering ENV-470 This course teaches the fundamentals of technologies for development (Development Engineering) to design, pilot, and deploy appropriate, affordable and robust technologies to address sustainable development challenges and especially those related to extreme poverty in Low-income settings. Science, Technology & Vulnerability HUM-287 This course explores how science and technology can address extreme vulnerability caused by
Klaus Benedikt SchönenbergerVision: Scientific research and technology development can be mobilized to help the poorest and most vulnerable in this world. Klaus Schönenberger obtained an MSc in Microengineering (1993), followed by a PhD (1996) from the Swiss Federal Institute of Technology in Lausanne (EPFL). After a post-doc at Lawrence Livermore National Laboratory in California, he spent over 10 years in the medical devices industry in leading positions such as Vice-President of Worldwide R&D in a 100mcompanyandGlobalVice−ResidentofResearchandTechnologyina1bn company. In 2009, as he was working for a medical devices company, he received a shock: he realized that there is a huge imbalance in access to medical technology in industrialized versus low and middle-income countries. After a closer look, he discovered that he imbalance’s main cause is a mismatch between existing technologies and business models, with those needed in low and middle-income countries. He decided to leave industry and, in 2009, he co-founded the EssentialMed Foundation, an innovative non-profit venture. In 2011, realizing that both technology and business models needed a profound rethinking, he joined EPFL where he launched EssentialTech, an initiative inspired by the philosophy of EssentialMed but expanded to a much wider portfolio of "essential" technologies. The university-wide program aims to develop innovative technologies and business models, for the benefit of sustainable development in low and middle-income countries. In this role, he has already launched and overseen a dozen large projects. Major Humanitarian actors such as the ICRC, MSF and Terre des Hommes took notice of the innovative approach proposed, and decided to collaborate in 2015-2016. This has resulted notably in the joint creation between EPFL and ICRC, of the Humanitarian Tech Hub at EPFL. In May 2017, Klaus directed and launched a MOOC(Massive Open Online Course) entitled “Technology Innovation for Sustainable Development” which aims to spread the unique methodology and approach worldwide. As of today, more than 6000 people have enrolled. In 2018 a first spin-off company was created. Award winning Pristem SA will deploy an innovative new digital xray imaging system, specifically designed for low-income contexts. In December 2018, the creation of the EssentialTech centre was announced by EPFL's presidency, and Klaus is now the Centre's director. Another spin-off of the EssentialTech Centre is the company HMCare, launched in 2020, which is deploying a transparent surgical mask. Yasmine Maria Calisesi ArznerYasmine Calisesi is the Executive Director of the EPFL Energy Center CEN since June 2019. Her role is to catalyze energy research led by EPFL laboratories, notably in collaboration with industrial and institutional partners, and enhance EPFL’s impact and image as a world leading research and education institution.
From 2007 to 2019, she worked as the Head of the Pilot and Demonstration Program of the Swiss Federal Office of Energy SFOE. As such, she supported the development and implementation of energy-relevant innovation projects at the interface of research and market deployment.
Prior to that, Yasmine was active in the fields of atmospheric physics and space science, establishing Earth observation from space as a discipline of the International Space Science Institute (ISSI) in Bern.
As a post-doctoral fellow of the University of Bern and the Swiss Federal Office of Meteorology and Climatology MeteoSwiss, she participated in the validation of ESA’s ENVISAT satellite.
Yasmine received her PhD from the University of Bern and holds an MSc in Physics from the University of Geneva. In 2006, she was awarded the Atmospheric Chemistry and Physics Award by the Swiss Commission for Atmospheric Chemistry and Physics. She is fluent in French, German, Italian and English.
Manuele Domenico MargniExpertise
Life Cycle AssessmentSustainable Production
Teaching & PhD PhD Students Pullah Bhatnagar, Dareen Dardor, Soline Corre, Mael Camil Mouhoub, Arthur Chuat, Ziqian Wang Past EPFL PhD Students as codirector Anna Kounina Massé, Xun Liao, Jonas Schnidrig Courses Life cycle assessment in energy systems ENV-510 This course will introduce students to the Life Cycle Assessment (LCA) as a holistic approach to evaluate, among others, energy conversion technologies throughout their entire valu
Marc VielleMarc Vielle has obtained a PhD degree in economics from the University Panthéon-Sorbonne (Paris). He worked as an economic researcher at the Laboratoire ERASME of Ecole Centrale de Paris and Université de Paris I (1987-1992), where he developed and managed the macroeconomic model HERMES-France. In 1991 he joined the Commissariat à lEnergie Atomique (CEA) as senior economist where he participated to the development of two models (GEM-E3 and PRIMES) funded by the European Commission. In 1996 he joined the Institut dEconomie Industrielle of Toulouse directed by Jean-Jacques Laffont. In 2003 he joined the Laboratoire dEconomie des Ressources Naturelles directed by Michel Moreaux. Since 2007, Marc works at EPFL.
He is member of the GEMINI-E3 team and participates to the development of the world general equilibrium model GEMINI-E3. Marc has a strong experience in economic modeling (especially CGE modeling), quantitative analysis, energy and climate change policies. He has contributed to several research projects funded by national governments, European Commission and private companies.
Skype 'Skype Me!' buttonhttp://www.skype.com/go/skypebuttons Christophe BallifChristophe Ballif is director of the Phototovoltaics and Thin Film Electronics Laboratoryb) (PV-Lab at the institute of microengineering (IMT) in Neuchâtel (part of the EPFL since 2009). The lab focus is on the science and technology of high efficiency heterojunction crystalline cells,so-called passivating contacts for solar cells, multi-junction solar cells include novel generation Perovskite on innovative optical high speed detector and on various macroelectronics application. It also deals with energy management with a focus on integration of solar electricity into the energy system. The PV-Lab has strongly contributed to technology transfer and industrialization of novel devices and full technology with numerous companies. Christophe Ballif graduated as a physicist from the EPFL in 1994, where he also obtained in 1998 his Phd degree working on novel PV materials. He accomplished his postdoctoral research at NREL (Golden, US) on compound semiconductor solar cells (CIGS and CdTe). He worked then at the Fraunhofer ISE (Ge) on crystalline silicon photovoltaics (monocrystalline and multi-crystalline) until 2003 and then at the EMPA in Thun (CH) before becoming full professor at the University of Neuchâtel IMT in 2004, taking over the chair of Prof. A. Shah. Since 2013, C.Ballif is also the director of the new CSEM PV-Center, also located in Neuchâtel. The CSEM PV-Center is focussing more on industrialisation and technology transfer in the field of solar energy, including solar electricity management and storage. At the core of the CSEM PV-center activities lies several "pilot lines" for various kinds of solar cells manufacturing, with a focus coating technologies, wet chemistry processes for crystalline silicon, metalisation techniques for solar cells, and a platform for developing "ideal packaging solutions and polymers" for PV modules. In addition, joined facitilites between CSEM and EPFL of over 800 m2 are available for modules manufacturing, measuring and accelerated aging. CSEM PV-center has also full team dedicated to storage and energy systems and operates a joined center with BFH in Biel for research on electrochemical storage. He (co-) authored over 500 journal and technical papers, as well as several patents. He is an elected member of the SATW, member of the scientific council of the Swiss AEE, and member of the board of the EPFL Energy center. In 2016, he recieved the Becquerel prize for his contributions to the field of high efficiency photovoltaics.
Jérémy DumoulinExpertise
energy system modelling, electric mobility, solar energy, photovoltaic performance modelling
Roberto CastelloRoberto Castello is a senior scientist and group leader at the EPFL Laboratory of Solar Energy and Building Physics. Physicist by training, he has extensive experience in collecting, classifying and interpreting large datasets using advanced data mining techniques and statistical methods. He received his MSc (2007) in Particle Physics and PhD (2010) in Physics and Astrophysics from the University of Torino. He worked as a postdoctoral researcher at the Belgian National Research Fund (2011-2014) and at the CERN Experimental Physics Department (2015-2017) as a research fellow and data scientist. He is primary author of more than 20 peer-reviewed publications and he presented at major international conferences in the high energy physics domain.
In 2018 he joined the Solar Energy and Building Physics Laboratory (LESO-PB) to work on data mining and Machine Learning techniques for the built environment and renewable energy. His main research interests are: spatio-temporal modeling of renewable energy potential, energy consumption forecasting techniques, anomaly detection, and computer vision techniques for automated classification in the built environment.
He leads the group of Urban Data Mining, Intelligence and Simulation at LESO-PB and he is a member of the NRP75 Big Data project (HyEnergy) of the Swiss National Science Foundation. He is a member of the Swiss Competence Centre for Energy Research (SCCER) and deputy leader of the working group on Leveraging Ubiquitous Energy Data. He has served as a scientific committee member, workshop organizer and speaker at international conferences (ICAE 2020, Applied Machine Learning Days 2019 and 2020, CISBAT 2019 and 2021 and SDS2020).
Since 2017 he is member of the Geneva 2030 Ecosystem network, promoting the United Nations agenda towards the realization of the Sustainable Development Goals (SDGs).
