Asm. Gabriella Romero
Gabriella Romero represents AD-109, a heavily Democratic district carrying a D+48 registration lean, where she won her 2024 general election with 72.4% of the vote against Alicia M. Purdy, a margin of 44.8 points; the seat is rated Safe D across all modeled 2026 electoral scenarios. The district, centered in an urban context with a population of 134,773, is 57.5% white, 20.7% Black, 9.7% Hispanic, and 8.7% Asian, with a median household income of $70,860, a poverty rate of 18.7%, and a bachelor's degree attainment rate of 47.7%; registered Democrats outnumber Republicans 59.0% to 11.4%. First elected in 2025, Romero sponsored 54 bills in her first session, with her highest concentrations in Education (6 bills), Criminal Procedure (5 bills), and General Business (4 bills), and she recorded 1 joint hearing engagement. No committee chairmanship data is available for Romero in this brief, and no lobbying sector or committee overlap data was provided.AI
Topic Focus AI
Topics extracted by AI from floor debate speeches, joint committee hearing transcripts, and sponsored legislation. Tag size reflects number of supporting citations.
Key Issues AI
Key issue areas derived from floor debate speeches and sponsored bill law sections.
Legislative Activity (2025–2026)
Bill sponsorship from NYS Open Legislation API. Hearing appearances from joint Senate-Assembly committee transcripts. Floor debate from official Assembly session transcripts (Granicus, 2023–present).
Bill Focus Areas 2025–2026
Grouped by law section from sponsored Assembly bills. Source: NYS Open Legislation API.
Floor Speeches: In Support (12) AI
The bill would allow judges and prosecutors to agree to plea bargains that deviate from mandatory sentencing enhancement categories (second felony offender, second violent felony offender, persistent violent felony offender) when they determine it serves the interest of justice. Debate centered on whether this provides necessary judicial flexibility for individual cases or risks uneven application across the state and undermines prosecutorial accountability. Supporters emphasized the bill requires agreement from both judge and prosecutor, protecting against abuse. Opponents worried it could erode mandatory sentencing protections and reduce prosecutors' obligation to justify charge dismissals to the public and victims.
Supported the bill for strong strides for government workers with reduced contribution rates, utility bill relief through rate case reform, Tier 6 changes, and the ASAP Act, despite concerns about CLCPA changes.
Supported the bill despite reservations, citing strong strides for government workers with reduced contribution rates, utility bill relief through rate case reform, and backing for Tier 6 changes and the ASAP Act, though expressing upset about CLCPA changes.
Floor Speeches: In Opposition AI
No recorded floor speeches in opposition found in our transcript archive for this member.
Electoral History AD-109
General Elections
| Year | Winner | Runner-up | Margin |
|---|---|---|---|
| 2024 | Gabriella A. Romero 72.4% (35,870) | Alicia M. Purdy 27.6% (13,671) | 44.8pts |
| 2022 | Patricia A. Fahy 74.4% (27,753) | Alicia Purdy 25.6% (9,545) | 48.8pts |
| 2020 | Patricia A. Fahy 70.5% (48,395) | Robert G. Porter 29.5% (20,282) | 41.0pts |
| 2018 | Patricia A. Fahy 71.3% (39,563) | Robert G. Porter 23.6% (13,106) | 47.7pts |
| 2016 | Patricia A. Fahy 69.9% (42,818) | Jesse D. Calhoun 30.1% (18,481) | 39.8pts |
| 2014 | Patricia A. Fahy 66.5% (27,509) | Jesse D. Calhoun 33.5% (13,828) | 33.0pts |
| 2012 | Patricia A. Fahy 64.0% (37,967) | Theodore J. Danz, Jr. 32.6% (19,319) | 31.4pts |
| 2010 | Robert P. Reilly 50.5% (27,018) | Jennifer A. Whalen 49.5% (26,457) | ⚡ 1.0pts |
| 2008 | Robert P. Reilly 64.0% (41,822) | John P. Wasielewski 36.0% (23,566) | 28.0pts |
| 2006 | Robert P. Reilly 62.7% (33,131) | Paulette M. Barlette 37.3% (19,731) | 25.4pts |
| 2004 | Robert P. Reilly 55.3% (36,862) | Robert G. Prentiss 44.7% (29,831) | 10.6pts |
| 2002 | Robert G. Prentiss 61.2% (29,695) | Thomas G. Myers 32.2% (15,653) | 29.0pts |
| 2000 | Elizabeth O'C. Little 100.0% (39,258) | Uncontested | — |
| 1998 | Elizabeth O'C. Little 100.0% (29,805) | Uncontested | — |
| 1996 | Elizabeth O'C. Little 100.0% (35,266) | Uncontested | — |
| 1995 | Elizabeth O'C. Little 70.5% (22,725) | David B. Sawyer 29.5% (9,525) | 41.0pts |
Primary Elections
| Year | Winner | Runner-up | Margin |
|---|---|---|---|
| 2010 (Republican) | Jennifer A. Whalen 44.2% (2,844) | Craig A. Hayner 34.9% (2,244) | ⚡ 9.3pts |
| 2010 (Conservative) | Jennifer A. Whalen 66.7% (172) | Craig A. Hayner 31.0% (80) | 35.7pts |
| 2004 (Independence) | Robert P. Reilly 56.1% (115) | Robert G. Prentiss 43.9% (90) | 12.2pts |
Source: NYS Board of Elections certified results. ⚡ = margin under 10 pts. District history reflects 2022 redistricted boundaries.
Vulnerability Index AD-109
Base lean: D+58
- Limited contested election data — registration lean used as primary signal
Scenario model: ±5pt national environment shift applied to district base lean (D+58). Base lean blends voter registration (40%) with recent contested general election margins (60%), using up to the last 4 general elections with margins under 40 points. Ratings: Safe D/R = 15+ pts, Likely = 8–14 pts, Lean = 3–7 pts, Toss-up = within 2 pts (Assembly districts are smaller and more homogeneous than Senate districts, so tighter thresholds are used). Generic ballot from Silver Bulletin (Nate Silver), as of 10/20/2026. Not a prediction — reflects structural competitiveness under different cycle environments.
District 109 Profile
Source: U.S. Census Bureau, American Community Survey 5-Year Estimates (2024).
Voter Registration
Demographics
Commute Mode
Source: U.S. Census Bureau, American Community Survey 5-Year Estimates (2024). Race and ethnicity figures may not sum to 100% — Hispanic/Latino is an ethnicity category that overlaps with racial groups.
Lobbying Activity
No lobbying disclosures on record for this member in the available dataset.
Source: NY Commission on Ethics and Lobbying in Government via data.ny.gov.