Work with thought leaders and academic experts from University of Vermont

Aayudh Das, Ph.D.

Boston, Massachusetts, United States of America
Scientist at Garuda therapeutics, specialized in Genomics and Computational Biology
Education

University of Vermont

PhD, Plant Biology / April, 2022

Burlington, Vermont, United States of America

Texas A&M University

Master's in Biochemistry, Biochemistry & Biophysics / May, 2016

College Station, Texas, United States of America

University of Calcutta

Master's, Biotechnology

Kolkata

Presidency University

Bachelor's, Botany

Kolkata
Experience

Garuda therapeutics

Scientist / July, 2023Present

The Pennsylvania State University - University Park Campus

Postdoctoral Researcher / June, 2022July, 2023

University of Vermont

Research Assistant / May, 2016May, 2022

Texas A&M University

Graduate research assistant / July, 2014May, 2016

South Dakota State University

Graduate research assistant / January, 2014July, 2014

Research Expertise
Transcriptomics
Genomics
Proteomics
Computational Biology
Metabolomics
And 10 more
About
I am a dedicated Scientist-I at Garuda Therapeutics, where I specialize in computational biology and genomics within the R&D department. My work primarily revolves around developing and optimizing pipelines for variant calling using Strelka2 and GATK4 with Whole Genome Sequencing (WGS) to identify oncogenes in human induced pluripotent stem cells (iPSCs). This involves extensive work in the qualification and validation of these pipelines for regulatory filings, as well as leveraging databases such as ClinVar, COSMIC, and DepMap to craft targeted oncogenes panels for deep sequencing. I also apply Next-Generation Sequencing (NGS) for downstream sequencing to validate CRISPR knockouts, including the identification and validation of CRISPR off-targets using techniques like rhAMPseq and Induce-seq. Additionally, my expertise extends to single-cell sequencing analysis and understanding structural variants with Optical Genome Mapping (Bionano). Prior to joining Garuda Therapeutics, I completed a postdoctoral fellowship in computational biology at Pennsylvania State University, where I honed my skills in identifying climate-adaptive variants and conducted Genome-Wide Association Studies (GWAS) to uncover resistance genes against parasites and other stressors. My academic journey began at the University of Vermont, where I explored abiotic stress resistance genes using transcriptomics and developed a robust understanding of RNA-seq data analysis, from assembly to gene annotation. My work is driven by a passion for leveraging computational and genomics tools to address pressing challenges in biology and healthcare, combining my rigorous academic training with a practical, solution-oriented approach to research and development.

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Jonathan Melman, Ph.D.

Cleveland, Ohio, United States of America
Principal at Melman Consulting
Education

Rutgers, The State University of New Jersey

Ph.D., Inorganic Chemistry / 2003

Piscataway, New Jersey, United States of America

University of Vermont

Post-Doctoral Study, Nanomaterials & Inorganic Chemistry / 2005

Burlington, Vermont, United States of America

Northwestern University

B.A., Chemistry

Evanston, Illinois, United States of America
Experience

Melman Consulting, LLC

Principal/CTO / May, 2020Present

Assist Clients in Chemistry, materials science, LED Lighting, Displays, especially where Rare Earth Elements are involved. Primarily Science and Engineering side, but also some business experience

GE Current

Phosphor Scientist / 20192020

Developed novel phosphor compositions for LED display applications. Set-up acquired analytical, LED applications and LED reliability labs.

Lumenari (EIE Materials)

Co-Founder, CTO, VP Product / 20132018

Started company in Silicon Valley to develop novel LED phosphor materials. Oversaw R&D, Applications, Analytical, and IP

Intematix Corporation

[Field] Applications Engineering / 20082012

Applications Enginnering of LED systems, modules, packages, and phosphor materials. Sales Support. Failure analysis. Application Notes.

Sr. Research Scientist / 20052008

Early employee at a Silicon Valley Start-Up. R&D of Combinatorial Materials Discovery and Development related to biomedical applications, Hydrogren Storage, Photovoltaics.

The University of Vermont

Post Doctoral Research Associate / 20032005

Researched nano-magnetic molecular switching. Mentored Graduate and Undergraduate Students

Green Technologies, LLC

Director of R&D / 20042005

Directed R&D related to biodiesel production and downstream value-added products

New Jersey Center of Biomaterials

Research Assistant / 20022003

Synthesized biodegradable polymers for biomedical applications

Research Expertise
Materials Chemistry
Electronic, Optical and Magnetic Materials
Electrochemistry
Physical and Theoretical Chemistry
Inorganic Chemistry
And 12 more
About
Dr. Jonathan Melman is a highly experienced chemist with a focus on inorganic chemistry and materials applications. He received his Ph.D. in Inorganic Chemistry from Rutgers in 2003 and went on to complete post-doctoral studies in Nanomaterials and Inorganic Chemistry at the University of Vermont in 2005. Dr. Melman has a strong background in industry, having worked in various roles at companies such as GE Current and Intematix, and especially at Lumenari, which he co-founded. He currently provides consulting and contract research services as he continues to innovate and develop new technologies. Dr. Melman is known for his expertise in Phosphors, Rare Earth Materials, and Inorganic Chemistry, as well as LED Lighting and Display Technologies. He is experienced in dealing with intellectual property, and 14 issued US patents. He is a driven and dedicated scientist who is passionate about pushing the boundaries of inorganic chemistry and finding practical applications for his research.

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Megan Harlow

PhD Candidate George Washington University
Education

George Washington University

PhD, English

Washington

European Graduate School

ABD PhD, Media Philosophy / January, 2012

Leuk

Kansas State University

Masters, Communication / May, 2009

Manhattan

University of Vermont

Bachelors, Political Science / May, 2007

VT, Vermont, United States of America
Experience

George Washington University

Graduate Teaching Assistant / September, 2022Present

University of Vermont

Adjunct Faculty / May, 2011August, 2022

Southern New Hampshire University

Adjunct Faculty / September, 2013April, 2021

Eastern Gateway Community College

Adjunct Faculty / September, 2018August, 2020

Castleton University

Adjunct Faculty / May, 2018August, 2020

Lord Fairfax Community College

Adjunct Faculty / May, 2016September, 2018

European Graduate School

Senior Content Editor / 20102013

Tampere University

Visiting Lecturer / January, 2011May, 2011

University of Ljubljana

Debate Faculty / 20112011

Bard College

Debate Coach / 20092010

University of Duhok

Debate Instructor / 20092009

Research Expertise
disability
gender
affect
feminism
Law
About
Megan Harlow is a highly educated and experienced academic in the field of English and Media Philosophy. She holds a PhD in English from George Washington University and an ABD PhD in Media Philosophy from European Graduate School. She also has a Masters in Communication from Kansas State University and a Bachelors in Political Science from University of Vermont. In addition to her extensive education, Megan has also gained valuable experience through her various academic roles. She has served as a Graduate Teaching Assistant at George Washington University and as an Adjunct Faculty at several institutions, including University of Vermont, Southern New Hampshire University, Eastern Gateway Community College, Castleton University, and Lord Fairfax Community College. Megan has also worked as a Senior Content Editor at European Graduate School and as a Visiting Lecturer at Tampere University. She has also been involved in debate, serving as a Debate Faculty at University of Ljubljana, Debate Coach at Bard College, and Debate Instructor at University of Duhok. With her strong academic background and diverse experience, Megan is a valuable asset to any academic institution or organization. She is dedicated to promoting knowledge and critical thinking through her teaching and research, and is committed to making a positive impact in the academic community.

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Owen Hudson

PhD candidate in plant pathology with publications using predictive and comparative genomics for disease resistance breeding. Experience in machine learning and image analysis.
Education

University of Vermont

B.A, Plant biology / May, 2018

Burlington, Vermont, United States of America

University of Georgia

M.S, Plant Pathology / May, 2021

Georgia

University of Florida

PhD, Plant Pathology / December, 2024 (anticipated)

Gainesville, Florida, United States of America
Research Expertise
Plant pathology
bioinformatics
plant breeding
genomics
About
My name is Owen Hudson, I’m currently a PhD candidate in Plant Pathology at the University of Florida and I expect to complete my degree in December 2024. In my current position at the University of Florida, I study Fusarium ear rot of maize, specifically genomic methods to improve disease resistance breeding, identification of disease-related genes, and high throughput plant phenotyping. While my degree will be in plant pathology, my activities have been more focused on plant breeding and bioinformatics, specifically quantitative genetics, comparative genomics, and genomic selection models. I now employ Linux/Bash, R, and Python regularly in my research and analysis, and I have included machine learning and predictive proteomics in my research. In my PhD, I build a machine to image maize ears and developed several machine learning classification models for disease prediction estimates on those images. I've also built machine learning models with the USDA-ARS to identify the most influential protein domains in specific microbial groups to predict their life habit (pathogenic, saprophytic, etc.) and then use the model to predict unknown fungi. I also was able to modify the model for use in my own dataset and improve my comparative genomic methods.

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