Sabine Karsenti

Sabine Karsenti is a French Canadian actress. Karsenti has played in both film and television, in French and in English from Montreal to Los Angeles.

Sabine Karsenti
Born
Sabine Karsenti

OccupationActress
Years active1990–present

Career

On the big screen, Karsenti has been in the role of Chrissie in Battlefield Earth which is often considered one of the worst films ever made. She also held several other leading roles, including The Favorite Game, Musketeers Forever and Bonjour Timothy, shot in New Zealand. Karsenti has had smaller roles in feature films such as Cadavre Exquis première édition, presented at the World Film Festival of Montreal in 2006. She was also part of the distribution of American films Time Bomb and The Perfect Marriage.

On the small screen, Karsenti starred in the series The Crow: Stairway to Heaven in which she played Shelly Webster.

Personal life

Karsenti graduated from the Lee Strasberg Theatre and Film Institute and the Stella Adler Studio of Acting.

Filmography

Film

YearTitleRoleNotes
1990Laura Laur
1995Silent HunterLaura
1995Size 8 1/2JodieShort Film
1995Bonjour TimothyMichelle Dubois
1996A Cry in the NightStéphanie
1998Chance or Coincidence
1998Elysian FieldsWaitress 1Short Film
1998The Girl Next DoorJulieTV Movie
1998Musketeers ForeverMalila
2000Battlefield EarthChrissy
2003The Favorite GameTamara
2004Premier juillet, le filmKate
2006BethuneFrances CampbellTV Movie
2006Time BombDeanne MitchellTV Movie
2006The Perfect MarriageKendraTV Movie
2006Cadavre Exquis première éditionMaya
2007Til Lies Do Us PartRebeccaTV Movie
2007The 3 L'il Pigs (Les 3 p'tits cochons)Infirmière de Lucille
2010City of Shadows (La Cité)Malika

Television

YearTitleRoleNotes
1996Hercules: The Legendary JourneysSeraEpisode: "The Wedding of Alcmene"
1998-1999The Crow: Stairway to HeavenShelley Webster22 episodes
2002Sacred GroundEpisode: The Lesser of Evils
2006Naked JoshWandaEpisode: Beating the Rap
2007Stephen King's Dead ZoneNancyEpisode: Outcome
gollark: The reason I think the assumption isn't great is that people see each other in multiple gatherings and so one person being infected means others are more likely to be and vice versa
gollark: It replicates what <@215706991748841473>'s code does. Also, I'm not sure exactly what you're saying.
gollark: (the code makes the same simplifying assumption anyway)
gollark: I'm pretty sure that (assuming the probability of each person at the gathering having COVID-19 is independent and just equal to the fraction of the population which us infected, which is not true but important to simplify) the number of people at the gathering who have it follows the binomial distribution.
gollark: =tex 1 - \left ( 1 - \frac{P_{covid}}{P} \right ) ^{N_{gathering}}

References

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