Dean Lee Email and Phone Number
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I write on LinkedIn to address two questions:▶ How does someone become a computational biologist in biotech/pharma?▶ And once they are in biotech/pharma, how can they work in a way that best unleashes AI/ML to actually improve patient outcomes?Every industry computational biologist's experience essentially begins with the first question and ends with the second.Some of my more specialized, lengthier content is delivered via my free LinkedIn newsletter, Figure One Lab.~~~~~~~~~~My trajectory: I started my graduate training in neuroscience studying the developing mammalian cortex. But I switched to computational biology when I witnessed how next-generation sequencing is forcing the life sciences through a data revolution. I now query this data to guide cancer drug development in biotech/pharma.
Novartis
View- Website:
- novartis.com
- Employees:
- 100036
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Senior Expert I, Data ScienceNovartis Aug 2022 - PresentCambridge, Massachusetts, United States• Prepare data packages for multiple therapeutic modalities to credential targets, clarify mechanisms of resistance, and anticipate the influence of the tumor microenvironment (TME).• Assess interpretable machine learning approaches to extract clinically predictive insights from large-scale omics data.• Lead scRNA-seq data curation efforts. Standardize scRNA-seq data analysis workflow.
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Group Leader, Computational BiologyHifibio Therapeutics Jan 2022 - Aug 2022Cambridge, Massachusetts, United States• Performed integrated analysis of scRNA-seq and scTCR-seq data from ex vivo tumor culture system.• Led and mentored 6 computational biologists; managed 4 consultants/interns.• Directed the production of single-cell immune reference map across dozens of tumor indications and autoimmune diseases via variational autoencoder-based integration.• Facilitated the mining of single-cell immune reference map for novel drug targets to feed drug portfolio.• Drove the effort to import new machine learning approaches to infer cell-cell interactions, predict efficacy of drug combinations, and enable joint analysis of scRNA-seq with bulk RNA-seq data, i.e. TCGA and GTEx.• Prospected new data modalities to acquire for future use. Ex. spatial transcriptomics. -
Scientist, Computational BiologyHifibio Therapeutics Jul 2020 - Dec 2021Cambridge, Massachusetts, United States• Derived predictive biomarkers of response for two novel immunotherapies ahead of clinical trials.• Standardized curation of public scRNA-seq data, now at 80+ studies and 6M+ single-cell transcriptomes.• Implemented automated immune cell type calling method for scRNA-seq data.• Collaborated with wet lab team to troubleshoot scRNA-seq and scTCR-seq experiments.
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Senior Associate Scientist, Computational BiologyHifibio Therapeutics Oct 2019 - Jun 2020Cambridge, Ma• Addressed target expression, mechanism of action, and indication selection questions for the company’s entire preclinical drug portfolio.• Validated proposed targets by mining external and internal scRNA-seq data.• Established computational best practices for timely analysis of newly published datasets.
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Bioinformatics AnalystHarvard University Feb 2018 - Oct 2019Cambridge, Ma• Identified previously overlooked differentially expressed genes from internal bulk RNA-seq dataset.• Compiled molecular catalog of cell types in the mouse hypothalamus from scRNA-seq dataset.• Established scRNA-seq statistical analysis pipeline with high-performance computing (HPC).• Validated putative markers for specific hypothalamic neuron subtypes with multiplexed ISH. -
Ph.D. CandidateHarvard University Aug 2013 - Feb 2018Cambridge, Ma• Tested how selected transcription factors regulate the identity of cortical projection neurons in mice.• Performed loss-of-function analyses in global and conditional knockout mice via immunohistochemistry and in situ hybridization.• Performed gain-of-function analyses by ectopic overexpression of candidate genes via in utero electroporation of cloned genetic constructs.
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Graduate Teaching AssistantHarvard University Jun 2017 - Dec 2017HST 130: Neuroscience, Harvard Medical SchoolMCB 81: Fundamentals of Neuroscience, Harvard CollegeBIOS S-129: Stem Cell and Regenerative Biology, Harvard Extension School
Dean Lee Skills
Dean Lee Education Details
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Neuroscience
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Applied Statistics -
Neuroscience
Frequently Asked Questions about Dean Lee
What company does Dean Lee work for?
Dean Lee works for Novartis
What is Dean Lee's role at the current company?
Dean Lee's current role is Pathways to Computational Biology | Figure One Lab.
What is Dean Lee's email address?
Dean Lee's email address is de****@****ard.edu
What schools did Dean Lee attend?
Dean Lee attended Harvard University, Penn State University, University Of California, Los Angeles.
What skills is Dean Lee known for?
Dean Lee has skills like Bioinformatics, Rna Seq, R, Data Analysis, Cluster Analysis, Gene Expression, Principal Component Analysis, Ngs, Statistics, Unix, High Performance Computing, Data Mining.
Who are Dean Lee's colleagues?
Dean Lee's colleagues are Nicole Troy Twumasi, Liana Albuquerque, Nada Shoushan, Axel Jegge, Neeraja Dorairaj, Tom Fowler, Takahiro Saito.
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