Tim Hare
VP, Head of Data Science - Accelerating Rare Disease Diagnosis w/ML and Statistical Learning at 81qd | New York, New York, United States
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Tim Hare serves as the Vice President and Head of Data Science at 81qd, where he is at the forefront of transforming the landscape of rare disease diagnosis through innovative applications of machine learning (ML) and statistical learning. With over 30 years of experience in preclinical drug discovery, Tim has honed his expertise in ultra-high dimensional pattern recognition, particularly in scenarios characterized by sparsity and extreme class imbalance. His role at 81qd is pivotal in developing bespoke AI solutions that not only enhance the accuracy of rare disease diagnostics but also align with the market intelligence needs of clients in the pharmaceutical industry.
Tim's current projects involve leveraging deep learning techniques and custom predictive models to analyze complex biological data, enabling faster and more reliable identification of rare diseases. His statistical acumen, combined with a strong foundation in biochemistry and data analysis, allows him to navigate the intricacies of high-dimensional datasets, ensuring that the insights generated are both actionable and clinically relevant. By utilizing tools such as R, SQL, and advanced data visualization platforms like Spotfire, Tim is able to communicate complex findings in an accessible manner, fostering collaboration between data scientists and healthcare professionals.
Additionally, Tim is a thought leader in the field, contributing to industry discussions through various publications and presentations. His insights on the challenges and opportunities of AI in rare disease diagnosis have been featured in prominent platforms, underscoring his commitment to advancing the integration of data science in healthcare. As he continues to push the boundaries of what is possible with AI and statistical learning, Tim Hare remains dedicated to improving patient outcomes and accelerating the journey from diagnosis to treatment for those affected by rare diseases.
VP, Head of Data Science - Accelerating Rare Disease Diagnosis w/ML and Statistical Learning at 81qd in September 2018 to Present
Sr. Manager, Client Analytics: High Dimensional Pattern Recognition & ML in Rare Disease Diagnosis at Symphony Health in November 2016 to September 2018
Manager, Client Analytics: High Dimensional Pattern Recognition & ML in Rare Disease Diagnosis at Symphony Health in July 2015 to November 2016
Director, US Data Insight & Analytics: ML in Large Sparse Data Sets for Business-to-Business Insight at Dun and Bradstreet in May 2014 to October 2014
Sr. Scientist, Informatics - Preclinical Drug Discovery Analytics at Merck & Co. in January 2009 to January 2013
Research Biochemist - Preclinical Drug Discovery Analytics at Merck & Co. in January 2005 to January 2009
Research Biochemist, Automated Biotechnology Compound Management Group - Preclinical Drug Discovery at Merck & Co. in January 1999 to January 2005
Research Biochemist, Biochemistry Department - Preclinical Drugs Discovery at Merck & Co. in January 1993 to January 1999
Biochemist, Biochemistry Department - Preclinical Drug Discovery at Merck & Co. in January 1987 to January 1993
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Montgomery County Community College, General studies in Mathematics
Earlham College, Bachelor's, Biology (Cum Laude: Honors, Departmental Comprehensive Exams, Departmental Oral Defense)
West Chester University of Pennsylvania, Master of Science (MS)
Montgomery County Community College, Mathematics: standard calculus sequence, Linear Algebra, Differential Equations GPA: 3.86
Earlham College, Bachelor's, Biology: Cum Laude: Honors, Departmental Comprehensive Exams & Honors, Oral Defense
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Large Language Models (LLM)
Deep Learning
Drug Discovery
R
Bioinformatics
Biotechnology
Data Mining
Biochemistry
Statistical Modeling
Statistics
SAS
High Throughput Screening
Assay Development
Data Analysis
Machine Learning
R&D
HPLC
VBA
SQL
Chromatography
Spotfire
Science
Pharmaceutical Industry
In Vivo
Life Sciences
Validation
Molecular Biology
Analytics
Analysis
Research
High-Performance Liquid Chromatography (HPLC)
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Discover more about 81qdWhat is Tim Hare email address?
Email Tim Hare at [email protected] and [email protected]. This email is the most updated Tim Hare's email found in 2026.
How to contact Tim Hare?
To contact Tim Hare send an email to [email protected] or [email protected]. (updated on May 06, 2024)
What company does Tim Hare work for?
Tim Hare works for 81qd
What is Tim Hare's role at 81qd?
Tim Hare is VP, Head of Data Science - Accelerating Rare Disease Diagnosis w/ML and Statistical Learning
What is Tim Hare's Phone Number?
Tim Hare's phone (212) ***-*276
What industry does Tim Hare work in?
Tim Hare works in the Market Research industry.
Tim Hare Email Addresses
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