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Christina Lingham

Executive Director, Conferences and Fellow at Cambridge Healthtech Institute

Christina Lingham serves as the Executive Director of Conferences and Fellow at the Cambridge Healthtech Institute (CHI). She holds a Bachelor of Arts in Biochemistry from Smith College. Christina began her career at MIT and subsequently worked for Baxter Healthcare and Genentech before transitioning to CHI in 1994, where she has dedicated over 30 years to producing conferences focused on innovative topics in the life sciences sector.13

Throughout her tenure at CHI, Christina has been instrumental in creating more than 220 events, including notable conferences such as the Molecular Medicine Tri-Conference and PEGS (the Protein Science and Production Week). Her work emphasizes the importance of emerging technologies and fostering collaboration between academia and industry, aiming to create environments conducive to innovation.123

In addition to her role at CHI, Christina is actively involved in various initiatives that support entrepreneurial ventures originating from academic research, helping to bridge the gap between scientific advancements and practical applications in the industry.1

Highlights

Mar 27 · linkedin

Deep learning systems for high-throughput assessment and manipulation of function, visualization, and in silico screening is being used to determine potential binding partners to a target molecule. The NEXT-GENERATION IN SILICO PROTEIN ENGINEERING AND DE NOVO DESIGN session at the Machine Learning Approaches at #PEGSummit will highlight computational methods and best practices for putting them to use to advance biologic therapies. Learn more and network with members of this growing community, https://lnkd.in/eXcBvrWd.

NEXT-GENERATION IN SILICO PROTEIN ENGINEERING AND DE NOVO DESIGN   KEYNOTE PRESENTATION: Launching into the Future: Sanofi’s Biologics AI Moonshot Program—Advancing AI Strategy and Innovation for Biologics Maria Wendt, PhD, Global Head and Vice President, Digital and Biologics Strategy and Innovation, Sanofi   De novo Cytokine Engineering to Probe and Manipulate Immune Biology Jamie Spangler, PhD, Associate Professor, Departments of Biomedical and Chemical Engineering, The Johns Hopkins University
Prediction of Deamidation and Isomerization in Therapeutic Proteins Using Machine Learning Combined with Structural and Dynamical Features Brajesh Rai, PhD, Senior Director, Machine Learning Computational Sciences, Pfizer Inc.   Next-Generation Protein Language Model for Antibody Engineering and Discovery Abhinav Gupta, PhD, Senior Machine Learning Scientist, Next-Generation Biologics Design, Sanofi   Predicting and Optimizing Antibody Stability Using Large Language Models Willy Voje , PhD, Senior Data Scientist, Protein Language Models, Evotech Global

Feb 14 · linkedin

Machine learning and AI have vast implications across the entire biologics spectrum. Come to the 20th Annual #PEGSummit to hear about the extensive application of Machine Learning and AI across the pipeline of development. https://www.pegsummit.com/. A few examples from this year’s agenda include:

Short course on In silico and Machine Learning Tools for Antibody Design and Developability Predictions https://lnkd.in/gv5ffg4G Instructors: Philip M. Kim, PhD, Professor, Molecular Genetics & Computer Science, University of Toronto Vinodh B. Kurella, PhD, Biotherapeutic Computational Modeler, Takeda Pharmaceuticals, Inc.

Training Seminar on Introduction to Machine Learning for Biologics Design https://lnkd.in/gv4hDvbk Instructor: Christopher R. Corbeil, PhD, Research Officer, Human Health Therapeutics, National Research Council Canada

Display of Biologics track https://lnkd.in/euKZkDT8

USING AI FOR IMPROVING ANTIBODIES

Combining Active Learning with a Rapid Synthetic Biology Platform to Design Therapeutic Antibodies Peyton Greenside, PhD, Co-Founder & CSO, BigHat Biosciences

Exploring the Efficacy of Singular and Combined Approaches: Evolutionary Intelligence, Artificial Intelligence, and Their Synergy in Advancing Antibody Affinity Maturation M. Frank Erasmus, PhD, Head, Bioinformatics, Specifica, Inc.

3rd Annual Machine Learning Approaches for Protein Engineering Balancing Theory with Practice track https://lnkd.in/eXcBvrWd

2nd Annual Digital Integration in Biotherapeutics Analytics track https://lnkd.in/g7Jd3g-k

Related Questions

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Christina Lingham
Christina Lingham, photo 1
Christina Lingham, photo 2
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Location

Needham Heights, Massachusetts