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Resumes and CVs | ASPIRE Job Search Series

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ASPIRE Job Search Series https://medschool.vanderbilt.edu/career-development/aspire-job-search-series-for-phd-students-and-postdocs/

Quantifying and Characterizing Cancer Cell Death Kinetics

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Presented by Associate Professor at Stanford University Scott Dixon, PhD. Discussion with students & Postdocs to follow Zoom Webinar: https://us02web.zoom.us/j/87550168229?pwd=QW9rUnBtTG1Ubk41d2Z0a3RhaWJCQT09 Passcode: 268741

Systems Biology approaches to interrogate roles of long non-coding RNAs in pan-cancer gene expression regulation

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Seema Mishra, Ph.D, is an Assistant Professor, Department of Biochemistry, at University of Hyderabad, India, which is an Institution of Eminence conferred by the Government of India. She has completed her Ph.D in Molecular Biology under Prof. S.E. Hasnain at National Institute of Immunology, New Delhi and trained at Prof. Andrea Califano’s laboratory at Columbia […]

Machine learning: a new approach to drug discovery

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Modern medicine has given us effective tools to treat some of the most significant and burdensome diseases. At the same time, it is becoming consistently more challenging and more expensive to develop new therapeutics. A key factor in this trend is that the drug development process involves multiple steps, each of which involves a complex […]

Engineering Approaches to Studying Cancer Cell Migration

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During cancer metastasis, cells move from the primary tumor, traversing heterogeneous terrain before seeding within a secondary site. Quantitative systems biology observes this terrain, including changes in tissue stiffness and architecture which can affect cell behavior and metastatic potential. In this talk, I will describe my lab’s efforts to understand the forces driving cell movements […]

Transport Transforms for Data Analysis and Machine Learning

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Based on optimal transport theory, transport transforms are non-linear transforms that are well suited for many applications in data analysis, classification, and processing. In many situations, ranging from machine learning and signal processing, transport-based algorithms have outperformed state-of-the-art methods. In this talk, we will describe the Cumulative Distribution Transform (CDT), the Radon-CDT, and some of […]

“The Connections Between Enhancer Architecture and Function”

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To carry out an enormous diversity of tasks, proteins can assume a variety of structures or disordered states, and years of work have made the connection between protein sequences, structures, and functions. Enhancers and other pieces of regulatory DNA regulate gene expression in highly disparate biological processes, but we still lack general principles that can […]

Image analysis and AI in microscopy-based life science research

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Biological processes can be observed both in space and over time using imaging. Visual assessment becomes limiting as datasets grow, and complexity of data as well as subtleness of processes makes it difficult to draw confident conclusions without automated and quantitative measurement strategies. Traditionally, digital image processing has relied on engineering mathematical models of e.g. […]

“From games in Cancer to endless evolution: a view through the algorithmic lens”

Any process can be framed as an algorithm; its power and its limits can then be analysed with the techniques of theoretical computer science. To analyse algorithms, we divide the world in two (i) the problem space that shapes what might happen and (ii) the dynamics of what does happen. If we fix an idealized […]

Moving the message: how mRNA transcripts are spatially patterned to direct developmental outcomes

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Event Zoom Link Gene expression involves the precise regulation of messenger RNA (mRNA) transcripts in space and time. In developing embryos, this process must be precisely executed to ensure cells adopt their proper cell fates and developmental outcomes. Dr. Osborne Nishimura's lab explores how mRNA transcripts concentrate within biomolecular condensates or at membranes within the […]