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Heather Liu Leary, Ph.D. Email & Phone Number

Loves: Data, optimization, relationships, design | Is: Engineer, scientist, storyteller, hypewoman at Heather Liu
Location: San Francisco Bay Area, United States, United States 10 work roles 2 schools
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Loves: Data, optimization, relationships, design | Is: Engineer, scientist, storyteller, hypewoman
Location
San Francisco Bay Area, United States, United States

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Heather Liu Leary, Ph.D. is listed as Loves: Data, optimization, relationships, design | Is: Engineer, scientist, storyteller, hypewoman at Heather Liu, based in San Francisco Bay Area, United States, United States. AeroLeads shows a matched LinkedIn profile for Heather Liu Leary, Ph.D..

Heather Liu Leary, Ph.D. previously worked as Data Storytelling, Information Presentation, Process Optimization at Heather Liu and Career transition at Career Break. Heather Liu Leary, Ph.D. holds Doctor Of Philosophy - Phd, Engineering And Applied Mathematics (Biomedical) from Yale University.

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Heather Liu

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About Heather Liu Leary, Ph.D.

tl;dr — I love data, I love relationships, and I love design. I’m a scientist, mathematician, and designer who senses simplicity and quantitative structure in complex things. I distill them into efficient processes, powerful stories, and/or aesthetic visual evidence.My PhD essentially asked the question: What is the simplest, most computationally-efficient model to draw useful information from a very complex (noisy, multidimensional) neuroimaging dataset?Wanna give me advice or work with me?https://forms.gle/1aHuN1GoFnvxW9LY7

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Heather Liu
Heather Liu
Loves: Data, optimization, relationships, design | Is: Engineer, scientist, storyteller, hypewoman
AeroLeads page
10 roles

Heather Liu Leary, Ph.D. work experience

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Data Storytelling, Information Presentation, Process Optimization

Current
Sep 2024 - Present

Career Transition

Career Break

Transitioning out of the corporate life. Exploring the intersection of data, design, and business/community-growing! Synthesizing my passions for building efficient processes, implementing robust technical analysis, and designing visual branding.

Jun 2023 - Aug 2024

Director, Business Development

Concord, Massachusetts, US

- Optimized business strategy, growth, and internal operations. Strengthened relationships with partners by aligning scientific and business incentives. - Managed client meetings and communication. Efficiently identified and creatively navigated internal procedural bottlenecks to deliver modeling proposals that maximized ROI for client and revenue margins.

Mar 2022 - Jun 2023

Sr. Scientist, Business Development

Concord, Massachusetts, US

Jan 2021 - Mar 2022

Phd Candidate

New Haven, CT, US

  • Thesis: Kinetic modeling, parameter estimation and model comparison in PET: Functional images of neurotransmitter dynamics and drug affinity, Advisor: Professor Evan D. Morris
  • Authored 13 publications (lead author on 5), >100 citations
  • Implemented dynamical systems simulations to develop mathematical model and computational algorithm for brain imaging data, aided by Monte Carlo analysis of parameter distributions and parameter identifiability
  • Developed and optimized computational pipeline to produce parametric 4D images of neurotransmitter dynamics, using novel statistical significance testing approach
  • Analyzed ‘dopamine connectivity’ in cigarette smokers using novel classification-learning algorithm to identify loci of similar dopamine release temporal profiles in response to cigarette smoking
  • Collaborated with local CRO and drove first-in-human modeling and analysis of voxel-resolution brain EC50/maximum occupancy estimates for flumazenil
Aug 2016 - Jan 2021

Graduate Teaching Fellow For Computational Biomedical Data Analysis (2018, 2019)

New Haven, CT, US

  • Organized weekly recitation sessions and office hours to help students with core concepts of probability and statistics, numerical methods, and analytical approaches for determination of quantitative parameters from.
  • Received excellent student evaluation ratings that surpassed course benchmarks for quality: 4.85/5.00 (2018), 5.00/5.00(2019)
Jan 2018 - May 2019

Pratt Undergraduate Research Fellowship

Durham, North Carolina, US

  • Thesis: Noninvasive head and neck cancer diagnosis using spectral darkfield microscopy and opticalspectroscopy; Advisor: Professor Nimmi Ramanujam
  • Improved image processing algorithm to classify stages of angiogenesis and cancer pathology bycomputational analysis of vessel density/tortuosity using segmentation techniques and oxygen saturationusing ratiometric.
  • Used CAD software to design and 3D-print specialized scaffolds for imaging and tissue positioning
  • Optimized darkfield imaging process and used blood vessel phantoms to validate a ratiometric method,resulting in efficient imaging of >40 animals within 2 months
Dec 2014 - May 2016

Orise Research Fellow

Fda

Silver Spring, MD, US

  • Identified and quantified Pseudomonas aeruginosa biofilm contamination on medical devices using hyperspectral imaging (HSI) and Mapped Average Principle Component Analysis of HSI data
  • Developed biofilms on various medical device materials, obtained hyperspectral imaging data, processed images, and analyzed data by determining spectral fingerprints
  • Designed algorithm to perform principal component analysis and produce score-mapped images
May 2014 - Aug 2014

Orise Research Fellow

Fda

Silver Spring, MD, US

  • Identified four unknown samples of single-chain fragment-variable (scFv) antibodies based on specific binding to various allergens using direct ELISA, after induction in E.coli and purification
  • Executed RT-qPCR of >30 interferon stimulated genes, pro-inflammatory and Th2 cytokines to compare innate immune response of two pulmonary epithelial cell lines (A549, alveolar and BEAS-2B, bronchial) in response to.
May 2013 - Aug 2013

Summer Internship(S)

Rockville, MD, US

  • Performed QC audits on clinical trial data for multiple vaccine studies including influenza, HPV, and malaria, to ensure data consistency and organization
  • Reviewed clinical trial protocols and liaised analysis reporting between biostatisticians and project managers
  • Assisted with data management, cleaning, and consistency across clinical trial databases using SAS
May 2011 - Aug 2013
2 education records

Heather Liu Leary, Ph.D. education

Doctor Of Philosophy - Phd, Engineering And Applied Mathematics (Biomedical)

Yale University

Bachelor Of Science In Engineering - Bse, Biomedical/Medical Engineering

Duke University
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What company does Heather Liu Leary, Ph.D. work for?

Heather Liu Leary, Ph.D. works for Heather Liu.

What is Heather Liu Leary, Ph.D.'s role at Heather Liu?

Heather Liu Leary, Ph.D. is listed as Loves: Data, optimization, relationships, design | Is: Engineer, scientist, storyteller, hypewoman at Heather Liu.

Where is Heather Liu Leary, Ph.D. based?

Heather Liu Leary, Ph.D. is based in San Francisco Bay Area, United States, United States while working with Heather Liu.

What companies has Heather Liu Leary, Ph.D. worked for?

Heather Liu Leary, Ph.D. has worked for Heather Liu, Career Break, Applied Biomath, Yale University, and Duke University.

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What schools did Heather Liu Leary, Ph.D. attend?

Heather Liu Leary, Ph.D. holds Doctor Of Philosophy - Phd, Engineering And Applied Mathematics (Biomedical) from Yale University.

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