Ted Lystig, Ph.D., Fasa
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Ted Lystig, Ph.D., Fasa Email & Phone Number

SVP, Chief Analytics Officer at BridgeBio at BridgeBio
Location: Huntsville, Utah, United States 9 work roles 5 schools
1 work email found @bridgebio.com LinkedIn matched
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Role
SVP, Chief Analytics Officer at BridgeBio
Location
Huntsville, Utah, United States

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Ted Lystig, Ph.D., Fasa is listed as SVP, Chief Analytics Officer at BridgeBio at BridgeBio, based in Huntsville, Utah, United States. AeroLeads shows a work email signal at bridgebio.com and a matched LinkedIn profile for Ted Lystig, Ph.D., Fasa.

Ted Lystig, Ph.D., Fasa previously worked as SVP, Chief Analytics Officer at Bridgebio and Adjunct Assistant Professor of Biostatistics at University Of Minnesota. Ted Lystig, Ph.D., Fasa holds Postdoctoral Fellow, Statistical Genetics from Chalmers University Of Technology.

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About Ted Lystig, Ph.D., Fasa

"Nothing is more attractive to intelligent people than an honest, challenging problem, whose possible solution will bestow fame and remain as a lasting monument." - Johann Bernoulli, 1696Dr. Theodore (Ted) Lystig is SVP, Chief Analytics Officer at BridgeBio, where he provides leadership and guidance in the use of robust statistical and research design methods throughout the company. He also holds the position of Adjunct Assistant Professor within the Division of Biostatistics at the University of Minnesota. Dr. Lystig is an elected Fellow of the American Statistical Association (ASA) and an elected Member of the International Statistical Institute (ISI). He is a past Chair for the ASA Section on Medical Devices and Diagnostics, current Chair for the ASA Biopharmaceutical Section, an Executive Committee member of the Clinical Trials Transformation Initiative (CTTI), Advisory Council member of the San Francisco Chapter of the American Statistical Association (SFASA), a member of the Bay Area Biotech-Pharma Statistics Workshop (BBSW) Board of Directors, and a member of the Society for Clinical Trials Board of Directors. He received his B.A. degree in Mathematics from St. Olaf College in Northfield, Minnesota, his M.S. and Ph.D. degrees in Biostatistics from the University of Washington in Seattle, and was a Postdoctoral Fellow at Chalmers Technical University in Gothenburg, Sweden, in statistical genetics. Prior to joining BridgeBio in 2021, he was the Global Head of Biostatistics and a Technical Fellow at Medtronic. Earlier in his career he held positions of increasing responsibility as a biostatistician for AstraZeneca in Molndal, Sweden, and Boehringer Ingelheim Pharmaceuticals in Ridgefield, Connecticut. Dr. Lystig is an internationally recognized industry leader in statistical methodology, especially in the area of active surveillance for medical devices. He is a frequent speaker at international statistics meetings and has given over 100 invited presentations at venues including Stanford, Harvard, ANVISA, and US FDA.My leadership principles: find good people, match them with impactful projects, and minimize their barriers to success.

Listed skills include Biostatistics, Clinical Trials, Statistics, Clinical Research, and 19 others.

Current workplace

Ted Lystig, Ph.D., Fasa's current company

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BridgeBio
Bridgebio
SVP, Chief Analytics Officer at BridgeBio
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9 roles · 32 years

Ted Lystig, Ph.D., Fasa work experience

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Svp, Chief Analytics Officer

Current

Palo Alto, California, Us

Global head of the Biostatistics, Statistical Programming, and Data Management functions across BridgeBio. Provided critical input to data analytical strategy and execution in the context of preparing marketing applications for regulatory submission in the US, EU, UK, and other markets. Built and grew the various Biometrics functions to accelerate clinical development for multiple BridgeBio subsidiaries in therapeutic areas including transthyretin amyloid cardiomyopathy, autosomal dominant hypocalcemia type 1, hyperoxaluria, limb-girdle muscular dystrophy type 2i, and recessive epidermolysis bullosa. Critically reviewed multiple development programs as part of both the company's Clinical Advisory Board and Protocol Review Committee. Evaluated the strengths and weaknesses of studies from potential acquisition targets, providing summary assessments to the CEO and members of the Board of Directors.

May 2021 - Present

Adjunct Assistant Professor Of Biostatistics

Current

Minneapolis And St. Paul, Minnesota, Us

Collaborated with faculty members and students to develop and publish advances in Bayesian adaptive designs for the medical device setting. Served as a member of the Faculty Search Committee for the Division prior to initial appointment. Acted as mentor for graduate students in the Division of Biostatistics. Frequent speaker, educator, and organizer at major international statistics meetings.

Jul 2013 - Present

Global Head Of Biostatistics

Minneapolis, Mn, Us

Global leader of the Biostatistics function for Medtronic. Sponsor and Chair of the Biostatistics Leadership Council, which consists of group leaders of biostatisticians across the company. Established and grew own central Corporate Biostatistics team from a single individual to a team of 16. Drove development and external regulatory endorsement of a novel Bayesian discount prior methodology for adaptively determining the proper amount of weight to give an historical data source combined with a current ongoing trial. Initiated and led the MDIC working group on External Evidence, which will develop a catalog of (non-exhaustive) case examples detailing supported methods for different data types (e.g., RWD, M&S) to meet certain objectives, as well as presenting agreed upon key steps for interactions between sponsors and regulators when working with external data. Worked directly with regulators as an active member of two separate IMDRF workstreams (Registries and Clinical Evidence) to advance sound clinical trial methods, especially for applications involving real world evidence. As a Steering Committee member, guided the Clinical Trials Transformation Initiative (CTTI) to account for Medtronic’s medical device manufacturer perspective in projects such as Single IRB, Mobile Clinical Trials, Real World Evidence, and Registry Trials. Created, promoted, and managed the Medtronic Clinical Grand Rounds to share lessons learned, provide a venue for dissemination of best practices, discuss issues of broad interest to the Clinical Research function, and build appreciation of the Clinical Research discipline. Maintained and enhanced the positive image of Medtronic statistics both internally and externally through consulting, presentations, scholarship, and professional networking. Continued previous roles with the Clinical Council, Global Clinical Research Excellence Award, and Medtronic Statistics Conference.

Feb 2015 - May 2021

Distinguished Statistician

Minneapolis, Mn, Us

Provided leadership through influence for 100+ statisticians and statistical programmers across various Medtronic organizations. Promoted and supported the use of robust statistical and research design methods in clinical research throughout the company. Directly evaluated statistical aspects of key clinical programs (design, conduct, analysis, and interpretation). Founded and chaired the Biostatistics Advisory Group for providing a consistent process of statistical review of important trials across Medtronic. Chaired the organizing committee of the annual Medtronic Statistics Conference each year. Developed a Clinical Trialist Program together with the University of Minnesota for increasing the technical competency of non-statisticians in the Clinical function. Determined appropriate modern statistical methodology to be implemented in Medtronic's post-approval network. Regularly mentored statistical professionals across the company. Served as the company's primary statistical representative for key interactions with regulatory agencies and external subject matter experts.

Jan 2011 - Feb 2015

Senior Principal Biostatistician

Ingelheim Am Rhein, Rhineland-Palatinate, De

Served as project statistician overseeing international development plans in the areas of allergic rhinitis, asthma and chronic obstructive pulmonary disease (COPD). Co-statistical lead for the submission of a new drug application (NDA) for a COPD drug program. Worked as trial statistician designing and analyzing respiratory therapy area studies in multiple phases of development (I, II, III). Provided statistical expertise for interactions with regulatory agencies and external key opinion leaders. Active biostatistical resource for the company (such as for meta-analysis and mixed models repeated measures applications), ensuring scientific integrity in the application of statistical methodology to clinical trials. Responsible for statistical content of secondary publications based on the Understanding Potential Long-Term Impacts on Function with Tiotropium (UPLIFT) trial. Recruited new departmental staff members at major statistical conferences. Hiring manager for summer interns in the department.

Jan 2008 - Jan 2011

Principal Statistician

Cambridge, Cambridgeshire, Gb

Designed and analyzed randomized clinical trials in the areas of obesity, diabetes, metabolic syndrome, and functional gastrointestinal disorders. Worked with researchers in both the Research Center for Endocrinology and Metabolism and the Deparment of Body Composition and Metabolism at the Sahlgrenska University Hospital in Gothenburg, Sweden. Delivered statistical support through consulting, presentations, and publications for a wide range of clinical and pre-clinical projects for these academic and medical researchers. Lead the statistical analyses of data from the Swedish Obese Subjects (SOS) study. Served as local expert in dependent longitudinal data and complex power calculations. Developed and applied novel statistical methods for the analysis of complex data, such as time course microarray experiments. Trained other staff in the proper methods of analyzing dependent longitudinal data.

2003 - Jan 2008

Postdoctoral Fellow

Gothenburg, Sweden, Se

Developed methods and software for improved analysis of epistasis (interaction) in genome scans for quantitative trait loci (QTL). The methods involve application of permutation testing and the estimating function bootstrap to the log odds score statistics from genome wide scans. Calculation of threshold values and adjusted p-values with the new programs are performed several orders of magnitude faster than with the best previously available methods. Furthermore, the new methods permit the natural comparison of complex models, such as two loci epistasis to two loci additivity. The methods may be applied both to inbred line crosses in experimental organisms and to human genetics studies with many independent pedigrees. Partially funded by pharmaceutical companies Arexis and AstraZeneca.

2001 - 2003 ~2 yrs

Research Assistant

Seattle, Wa, Us

Collaborated with medical and epidemiological researchers in the Human Papillomavirus Working Group. Projects included modelling progression and regression of precancerous cervical lesions, determining the infectivity of human papillomavirus in a cohort of university women and their partners, modelling error rates in polymerase chain reaction (PCR) experiments, and evaluating the impact of false test results in vaccine efficacy studies.

1997 - 2001 ~4 yrs

Research Assistant

Seattle, Wa, Us

Member of the Methodology of Community-Based Evaluation Studies working group. Collaborated with public health and health services professionals. Projects included researching the historical basis for modern-day pooling analyses of community intervention studies and assessing the impact of pooling community-level data for a range of study designs.

1995 - 1996 ~1 yr
5 education records

Ted Lystig, Ph.D., Fasa education

Postdoctoral Fellow, Statistical Genetics

Chalmers University Of Technology

M.S., Ph.D., Biostatistics

University Of Washington

B.A., Mathematics, Statistics

St. Olaf College

Semester In The Pacific Northwest

Nols

Education record

Bloomington Jefferson
FAQ

Frequently asked questions about Ted Lystig, Ph.D., Fasa

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What company does Ted Lystig, Ph.D., Fasa work for?

Ted Lystig, Ph.D., Fasa works for BridgeBio.

What is Ted Lystig, Ph.D., Fasa's role at BridgeBio?

Ted Lystig, Ph.D., Fasa is listed as SVP, Chief Analytics Officer at BridgeBio at BridgeBio.

What is Ted Lystig, Ph.D., Fasa's email address?

AeroLeads has found 1 work email signal at @bridgebio.com for Ted Lystig, Ph.D., Fasa at BridgeBio.

Where is Ted Lystig, Ph.D., Fasa based?

Ted Lystig, Ph.D., Fasa is based in Huntsville, Utah, United States while working with BridgeBio.

What companies has Ted Lystig, Ph.D., Fasa worked for?

Ted Lystig, Ph.D., Fasa has worked for Bridgebio, University Of Minnesota, Medtronic, Boehringer Ingelheim Pharmaceuticals, and Astrazeneca.

How can I contact Ted Lystig, Ph.D., Fasa?

You can use AeroLeads to view verified contact signals for Ted Lystig, Ph.D., Fasa at BridgeBio, including work email, phone, and LinkedIn data when available.

What schools did Ted Lystig, Ph.D., Fasa attend?

Ted Lystig, Ph.D., Fasa holds Postdoctoral Fellow, Statistical Genetics from Chalmers University Of Technology.

What skills is Ted Lystig, Ph.D., Fasa known for?

Ted Lystig, Ph.D., Fasa is listed with skills including Biostatistics, Clinical Trials, Statistics, Clinical Research, Clinical Study Design, Pharmaceutical Industry, Bayesian Statistics, and Medical Devices.

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