Lori K. Bogren
Director of Statistical Programming at Athira Pharma- Claim this Profile
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Bio
Marziyeh A Khanouki
I’ve had the pleasure of working with many professionals at work, but Lori was someone who I will always remember fondly. I started my career at Verizon working alongside Lori. I learned a lot from her. She was always willing to lend a hand to anyone who needs it. Any company would be lucky to have Lori, she would be an asset to any team.
Michael Hinterberg
I have had the pleasure of working with Lori for several years, and would strongly recommend her for any similar position in machine learning, bioinformatics, and leadership within those areas. We started a similar position at the same time, and I enjoyed onboarding and learning with her and from her. She has a unique and valuable combination of technical expertise, intelligence, and diligence, but also a calm but assertive and professional demeanor that makes her a good person to work with on a team. She also has broad knowledge of both biology and statistics, in both academic and product-level application. She is a lifelong learner willing to learn new things and able to pick them up quickly, and a lifelong teacher willing to share and mentor. She is also a kind and humble person with whom I looked forward to talking and discussing projects. Please contact me any time for any further specific examples, thank you!
Marziyeh A Khanouki
I’ve had the pleasure of working with many professionals at work, but Lori was someone who I will always remember fondly. I started my career at Verizon working alongside Lori. I learned a lot from her. She was always willing to lend a hand to anyone who needs it. Any company would be lucky to have Lori, she would be an asset to any team.
Michael Hinterberg
I have had the pleasure of working with Lori for several years, and would strongly recommend her for any similar position in machine learning, bioinformatics, and leadership within those areas. We started a similar position at the same time, and I enjoyed onboarding and learning with her and from her. She has a unique and valuable combination of technical expertise, intelligence, and diligence, but also a calm but assertive and professional demeanor that makes her a good person to work with on a team. She also has broad knowledge of both biology and statistics, in both academic and product-level application. She is a lifelong learner willing to learn new things and able to pick them up quickly, and a lifelong teacher willing to share and mentor. She is also a kind and humble person with whom I looked forward to talking and discussing projects. Please contact me any time for any further specific examples, thank you!
Marziyeh A Khanouki
I’ve had the pleasure of working with many professionals at work, but Lori was someone who I will always remember fondly. I started my career at Verizon working alongside Lori. I learned a lot from her. She was always willing to lend a hand to anyone who needs it. Any company would be lucky to have Lori, she would be an asset to any team.
Michael Hinterberg
I have had the pleasure of working with Lori for several years, and would strongly recommend her for any similar position in machine learning, bioinformatics, and leadership within those areas. We started a similar position at the same time, and I enjoyed onboarding and learning with her and from her. She has a unique and valuable combination of technical expertise, intelligence, and diligence, but also a calm but assertive and professional demeanor that makes her a good person to work with on a team. She also has broad knowledge of both biology and statistics, in both academic and product-level application. She is a lifelong learner willing to learn new things and able to pick them up quickly, and a lifelong teacher willing to share and mentor. She is also a kind and humble person with whom I looked forward to talking and discussing projects. Please contact me any time for any further specific examples, thank you!
Marziyeh A Khanouki
I’ve had the pleasure of working with many professionals at work, but Lori was someone who I will always remember fondly. I started my career at Verizon working alongside Lori. I learned a lot from her. She was always willing to lend a hand to anyone who needs it. Any company would be lucky to have Lori, she would be an asset to any team.
Michael Hinterberg
I have had the pleasure of working with Lori for several years, and would strongly recommend her for any similar position in machine learning, bioinformatics, and leadership within those areas. We started a similar position at the same time, and I enjoyed onboarding and learning with her and from her. She has a unique and valuable combination of technical expertise, intelligence, and diligence, but also a calm but assertive and professional demeanor that makes her a good person to work with on a team. She also has broad knowledge of both biology and statistics, in both academic and product-level application. She is a lifelong learner willing to learn new things and able to pick them up quickly, and a lifelong teacher willing to share and mentor. She is also a kind and humble person with whom I looked forward to talking and discussing projects. Please contact me any time for any further specific examples, thank you!
Experience
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Athira Pharma
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United States
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Biotechnology
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1 - 100 Employee
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Director of Statistical Programming
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May 2023 - Present
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SomaLogic
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United States
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Biotechnology
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300 - 400 Employee
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Senior Manager Predictive Modeling
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Feb 2022 - Dec 2022
-Led and mentored a team of PhD data scientists within the predictive modeling group -Team’s goal was to characterize a variety of different environmental and clinical health issues using proteomic data -Developed and employed a wide range of statistical methods and machine learning/AI toolsto understand how proteomics can predict different disease outcomes -Collaborated extensively with clinical, commercial, and regulatory teams, and other external research groups. -Led and mentored a team of PhD data scientists within the predictive modeling group -Team’s goal was to characterize a variety of different environmental and clinical health issues using proteomic data -Developed and employed a wide range of statistical methods and machine learning/AI toolsto understand how proteomics can predict different disease outcomes -Collaborated extensively with clinical, commercial, and regulatory teams, and other external research groups.
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Verizon
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United States
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IT Services and IT Consulting
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700 & Above Employee
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Senior Engineer - Data Science: Fraud, Security, and Risk Management
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Oct 2017 - Feb 2022
Data Scientist for Cyber Security, Fraud. and 5G MEC -Statistical modeling, machine learning, and algorithm development for solving unique and various problems in the cyber security and fraud space. -Algorithm development for 5G Multi-access Edge Computing applications (e.g. crowd management) Data Scientist for Cyber Security, Fraud. and 5G MEC -Statistical modeling, machine learning, and algorithm development for solving unique and various problems in the cyber security and fraud space. -Algorithm development for 5G Multi-access Edge Computing applications (e.g. crowd management)
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SomaLogic
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United States
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Biotechnology
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300 - 400 Employee
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Bioinformatics Scientist
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Nov 2016 - Oct 2017
Bioinformatics -Use and development of statistical/machine learning models and tools to analyze protein biomarker data for the purpose of discovering health insights -Collaboration with clinical team members at SomaLogic for development of healthcare models Bioinformatics -Use and development of statistical/machine learning models and tools to analyze protein biomarker data for the purpose of discovering health insights -Collaboration with clinical team members at SomaLogic for development of healthcare models
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University of Colorado Anschutz Medical Campus
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United States
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Higher Education
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700 & Above Employee
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Postdoctoral Research Fellow
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Aug 2014 - Nov 2016
-Statistical and supervised/unsupervised machine learning in analysis, modeling, and exploration of potential biochemical markers for entrance into and exit from torpor/hibernation -LC-MS metabolomic analysis of hibernation state transitions. -RNASeq to identify hibernation state specific mRNA editing in various brain regions and of hibernators. -EDGE-tag transcriptomics to determine changes in mRNA profile over the physiological extremes of a hibernator's year. -Statistical and supervised/unsupervised machine learning in analysis, modeling, and exploration of potential biochemical markers for entrance into and exit from torpor/hibernation -LC-MS metabolomic analysis of hibernation state transitions. -RNASeq to identify hibernation state specific mRNA editing in various brain regions and of hibernators. -EDGE-tag transcriptomics to determine changes in mRNA profile over the physiological extremes of a hibernator's year.
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University of Alaska Fairbanks
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United States
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Higher Education
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700 & Above Employee
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Postdoctoral Research Fellow
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Jan 2013 - Jul 2014
-Targeting Central A1 Adenosine Receptors Induces Therapeutic Hypothermia for Stroke -Changes in Bone Density and Lean Tissue Mass during Disuse and Torpor in the Arctic Ground Squirrel -Instructor for Chem 105, first semester chemistry course for STEM majors. -Intern with the Office of Intellectual Property and Commercialization at UAF
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Graduate Research Assistant
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Apr 2009 - Dec 2012
-Biochemistry and Molecular Biology Program -Protective Mechanisms of Arctic Ground Squirrels against Global Ischemia and Multi Organ Failure caused by Ischemia/ Reperfusion (Cardiac Arrest and Hemorrhagic Shock Models) -1H NMR Metabolomic Analysis of Arctic Ground Squirrel Plasma and Liver Before and After Isobaric Hemorrhagic Shock
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Amgen
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United States
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Biotechnology Research
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700 & Above Employee
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Sr. Associate
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Feb 2005 - Mar 2009
Analytical Sciences- Bio Analytical group for a late stage recombinant protein commercialization program. Responsible for: - analytical method development, qualifications, transfers - degradation characterization - analytical support for drug substance and drug product process development - supporting investigations in quality control and manufacturing Analytical Sciences- Bio Analytical group for a late stage recombinant protein commercialization program. Responsible for: - analytical method development, qualifications, transfers - degradation characterization - analytical support for drug substance and drug product process development - supporting investigations in quality control and manufacturing
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Education
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2020 - 2024
Georgia Institute of Technology
Master of Science - MS, Analytics -
2009 - 2013
University of Alaska Fairbanks
Doctor of Philosophy (Ph.D.), Biochemistry and Molecular Biology -
2007 - 2011
Concord Law School at Purdue University Global
Executive Juris Doctorate, Law and Technology -
2001 - 2005
Colorado State University
MS, Biochemistry -
1997 - 2000
University of Colorado at Boulder
BA, Biochemisty; Molecular, Cellular, and Developmental Biology -
Palmer
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