Age, Biography and Wiki
Howard Friedman (Howard Steven Friedman) was born on 10 June, 1972 in New York City, is an An american male non-fiction writer. Discover Howard Friedman's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is he in this year and how he spends money? Also learn how he earned most of networth at the age of 51 years old?
Popular As |
Howard Steven Friedman |
Occupation |
Scientist
Professor
Artist
Writer |
Age |
51 years old |
Zodiac Sign |
Gemini |
Born |
10 June 1972 |
Birthday |
10 June |
Birthplace |
New York City |
Nationality |
United States
|
We recommend you to check the complete list of Famous People born on 10 June.
He is a member of famous Professor with the age 51 years old group.
Howard Friedman Height, Weight & Measurements
At 51 years old, Howard Friedman height not available right now. We will update Howard Friedman's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.
Physical Status |
Height |
Not Available |
Weight |
Not Available |
Body Measurements |
Not Available |
Eye Color |
Not Available |
Hair Color |
Not Available |
Dating & Relationship status
He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.
Family |
Parents |
Not Available |
Wife |
Not Available |
Sibling |
Not Available |
Children |
Not Available |
Howard Friedman Net Worth
His net worth has been growing significantly in 2023-2024. So, how much is Howard Friedman worth at the age of 51 years old? Howard Friedman’s income source is mostly from being a successful Professor. He is from United States. We have estimated Howard Friedman's net worth, money, salary, income, and assets.
Net Worth in 2024 |
$1 Million - $5 Million |
Salary in 2024 |
Under Review |
Net Worth in 2023 |
Pending |
Salary in 2023 |
Under Review |
House |
Not Available |
Cars |
Not Available |
Source of Income |
Professor |
Howard Friedman Social Network
Timeline
Howard Steven Friedman (born June 10, 1972) is a prominent American statistician, data scientist, health economist, and writer who teaches at Columbia University
Friedman is widely known for his role as a lead statistical modeler on a number of key United Nations projects and for his wide-ranging publications in the fields of statistics, data science and health economics.
Friedman was born in New York City and received his bachelor's degree from Binghamton University in applied physics in 1993, where he was a National Merit Scholar.
He received a master's in statistics in 1998 and PhD in biomedical engineering from Johns Hopkins University in 1999.
His thesis work focused on neural representations of object color through neurophysiological records of awake, behaving monkeys.
This research leveraged a visual phenomenon known as Troxler's fading which is related to the phenomena of color filling-in to explore how object color is represented in the visual cortex.
He has also contributed to areas of changepoint detection as it applies to neurophysiology.
Friedman was awarded a number of awards during his undergraduate and graduate career including the National Merit Scholarship, Whitaker Foundation Fellowship and the National Science Foundation Graduate Research Fellowship NSF-GRF
Following his dissertation work, Friedman took a position as a director at Capital One where he led teams of statisticians, analysts and programmers in various areas of operations and marketing.
He left Capital One to form Analytic Solutions LLC in 2003 which provided consulting services in areas of designing, developing and modeling data and served as Chief Data Scientist for DataMed Solutions LLC and Sygeny LLC.
He has worked with the United Nations where he led a large number of research projects related to data analytics and health economics.
He is credited with being the lead developer of the Integrated Health Model (used for costing the Health-related Millennium Development Goals within UNDP) and the Reproductive Health Costing Tool in UNFPA
He is a lead scientist for the interagency collaboration among UNICEF, World Bank, World Health Organization, UNFPA, UNAIDS and UNDP for the development of the OneHealth Tool, a project sponsored by the IHP+.
In June 2012, Prometheus Books released his book Measure of a Nation.
This book focuses on how to improve America by first comparing its performance with thirteen competitive industrial nations, then identifying the best practices found throughout the world that can be adopted here in the United States.
Measure of a Nation was named by Jared Diamond as the best book of 2012 in an interview published in the New York Times.
Friedman released an e-book, A Modest Proposal for America, in May 2013 through Foreword Literary that combines an opening satire on America with an analysis of US federal government finances.
In 2014, he was a Visiting Researcher at Oxford University's Department of Economics.
Friedman is the author of over 100 scientific articles and book chapters in areas of applied statistics, health economics and politics and has created data science courses using R, Python, SQL and SAS software.
Friedman was born in New York City.
His father worked as a math teacher, his mother worked as an early education teacher.
In addition to his scientific career, Friedman is an accomplished artist and writer.
His formal art training was at both Binghamton University and the School of Visual Arts.
His first book, Angels and Stardust, featured original poetry and artwork.
In his doctoral thesis, he quoted both Ozymandias and Angels and Stardust in the preface.
His paintings have been displayed in a number of New York City venues.
His recent writing is focused on political analysis leveraging his statistics and United Nations experience have been published in numerous online venues including the Huffington Post, and cnbc.com.
In 2020, the University of California Press published Ultimate Price, a book that examines how human life is valued.
He has published textbooks on applied data science including 'Establishing Causal Inferences: Propensity Score Matching, Heckman's Two-Stage Model, Interrupted Time Series, and Regression Discontinuity Models', 'Propensity Score Matching, Adjustment, and Randomized Experiments', and 'Strategic Thinking with Data'