Ron Milo

Please check out my lab's website at the Weizmann institute in Israel.

e-mail: ron.milo at weizmann.ac.il

phone: +972-505-714697

You can check my website in Boston at: http://openwetware.org/wiki/User:Ronmilo



Research interests:

Plant and environmental systems biology

I want to harness the tools and approaches employed in systems biology to bear on the grand challenges of sustainability. I am studying the efficiency of photosynthesis, trying to gain insight about the constraints that shape its properties and the limitations on the maximal productivity in plants and other photosynthetic organisms. In the process of studying plants I developed a tool for the automatic measurement of hypocotyls (stems) and roots - HypocoTool .

Dynamic proteomics

I am interested in studying the dynamics of protein levels at the single cell level. This promises to give us a deeper understanding into biological processes. In a research effort with Alex Sigal and other members of the Alon group at the Weizmann Institute I am developing an experimental tool for dynamic proteomics in individual living human cells. This method enabled us to measure the variability and temporal memory in thousands of cells for several dozen proteins. Our approach uses a fluorescently tagged library under endogenous regulation analyzed using time lapse microscopy and custom written image analysis tools.

How physiological adaptations affect evolutionary adaptations

A central issue in understanding natural selection is the relationship between physiological adaptations and evolutionary adaptations. Though extensively discussed in qualitative terms, quantitative analysis has been lacking. Under the guidance of Marc Kirschner and Michael Brenner I am studying this relationship using hemoglobin as a model system, relying on extensive experimental data measured for various organisms and under varying conditions.

Network motifs - building block of complex networks

To understand biological networks, together with Uri Alon and members of his lab, we have defined "network motifs": interaction patterns that appear in a network much more than expected in random. Network motifs help in finding functional building blocks of complex networks. Network motifs have been found to perform information processing tasks by studying their temporal dynamics in microorganisms. The approach was used to classify networks into superfamilies.

BioNumbers database

This is a collaborative effort to establish a database of useful biological numbers such as the number of ribosomes in the cell, the volume of the nucleus, the rate of translation and transcription and many many other useful but too often hard to find biological numbers. You can learn more about it and check out the current version at the BioNumbers database.

Optimality in biology

A subject I am fascinated with. Here is a compilation of annotated examples I am compiling - Optimality in biology collection.

Here is my CV.

Selected Publications: