Age, Biography and Wiki
Nan Laird (Nan McKenzie Laird) was born on 18 September, 1943 in Gainesville, Florida, USA, is an A 20th-century american mathematician. Discover Nan Laird's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is she in this year and how she spends money? Also learn how she earned most of networth at the age of 80 years old?
| Popular As |
Nan McKenzie Laird |
| Occupation |
N/A |
| Age |
80 years old |
| Zodiac Sign |
Virgo |
| Born |
18 September 1943 |
| Birthday |
18 September |
| Birthplace |
Gainesville, Florida, USA |
| Nationality |
United States
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We recommend you to check the complete list of Famous People born on 18 September.
She is a member of famous mathematician with the age 80 years old group.
Nan Laird Height, Weight & Measurements
At 80 years old, Nan Laird height not available right now. We will update Nan Laird'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
She is currently single. She is not dating anyone. We don't have much information about She's past relationship and any previous engaged. According to our Database, She has no children.
| Family |
| Parents |
Not Available |
| Husband |
Not Available |
| Sibling |
Not Available |
| Children |
Not Available |
Nan Laird Net Worth
Her net worth has been growing significantly in 2023-2024. So, how much is Nan Laird worth at the age of 80 years old? Nan Laird’s income source is mostly from being a successful mathematician. She is from United States. We have estimated Nan Laird'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 |
mathematician |
Nan Laird Social Network
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Timeline
Nan McKenzie Laird (born September 18, 1943) is the Harvey V. Fineberg Professor of Public Health, Emerita in Biostatistics at the Harvard T.H. Chan School of Public Health.
Laird began her undergraduate studies at Rice University in 1961, first majoring in mathematics, before switching to French.
She left Rice in her junior year in college and moved to New York City.
Later, she resumed studies at University of Georgia in computer science before eventually switching to statistics and earned her BA in 1969.
Laird worked between 1969 and 1971 as a computer programmer on the Apollo program at MIT's Draper Laboratory before starting her graduate studies at Harvard University in statistics in 1971.
She received her PhD from Harvard in 1975 under Arthur Dempster and was hired as a faculty member directly after graduation.
She remained at Harvard until her retirement, when she became an emeritus professor.
Laird is well known for many seminal papers in biostatistics applications and methods, including the expectation–maximization algorithm.
Her honors include the third International Prize in Statistics in 2021, the 25th Annual Distinguished Statistician Lecture from the University of Connecticut, the American Statistical Association and Pfizer in 2016, the 25th Annual Lowell Reed Lecturer, from the American Public Health Association in 2011, the Samuel S. Wilks Award, from the American Statistical Association in 2011, the Myra Samuels Lecturer award from Purdue University in 2004, the Janet L. Norwood Award in 2003 from the American Statistical Association, the Florence Nightingale David Award in 2001 from the Committee of Presidents of Statistical Societies, and several other fellowships.
She served as Chair of the Department from 1990 to 1999.
She was the Henry Pickering Walcott Professor of Biostatistics from 1991 to 1999.
Laird is a Fellow of the American Statistical Association, as well as the Institute of Mathematical Statistics.
She is a member of the International Statistical Institute.
