POLICE WANTED – SLOUGH WELLINGTON STREET SEXUAL ASSAULT APPEAL

POLICE WANTED - SLOUGH WELLINGTON STREET SEXUAL ASSAULT APPEALPOLICE WANTED - SLOUGH WELLINGTON STREET SEXUAL ASSAULT APPEAL

Thames Valley Police have released an E-fit image of a man they wish to trace following a sexual assault in Slough on Monday 19 January. At approximately 5pm, a woman in her forties was in the Wellington Street area when she was approached by a man who touched her inappropriately over her clothing. After the assault, it was reported that the suspect walked away in the direction of the Tesco supermarket on Brunel Way.

The investigation established that shortly after the incident, the victim flagged down a man driving a white Transit van to report what had happened. The prosecution and investigating officers are keen to identify this driver, as he is considered a significant potential witness. Investigating officer PC Megan Power, based at Slough Police Station, reported that the driver’s account could be crucial to the investigation and urged him to come forward.

Judicial Findings and Investigative Detail

The court reported that the suspect is described as an Asian male, approximately 65 years old, with a stocky build and standing about 5ft 5ins tall. The investigation established that at the time of the offence, he was wearing a blue turban and had a long white beard. The prosecution reported that any individuals who recognize the person depicted in the E-fit, or who may have been in the Wellington Street area around 5pm on the day of the assault, should contact the authorities immediately.

Thames Valley Police concluded their appeal by requesting anyone with information to call 101 or make a report online, quoting reference number 43260029903. For his actions in Slough and the distress caused to the victim, the unidentified suspect is currently the subject of an active police search. The judge noted—in similar contexts of public appeals—that community assistance is often the deciding factor in identifying perpetrators of such predatory behaviour in busy town centres.


Status and Statutory Requirements

For the records reported in Berkshire and Slough, the status of the investigation as of April 9, 2026, was as follows:

  • Suspect Status: AT LARGE (Thames Valley Police are currently appealing for public help to identify the man).
  • Warrant Status: INVESTIGATION ACTIVE (Information sought via reference 43260029903).
  • Sex Offenders Register: N/A (Pending identification and conviction).
  • DBS Status: N/A (Pending criminal proceedings).
  • Legal Status: UNDER INVESTIGATION (Sexual Assault).
  • Judicial Oversight: Investigated by Thames Valley Police, Slough Police Station.
  • Criminal Record: N/A (Identification sought for initial proceedings).
  • Origin: Incident occurred in the Wellington Street/Brunel Way area, Slough, Berkshire.

Monitoring and Public Protection

The suspect is currently being sought as a high-priority person of interest within the Slough area. Due to the nature of his conduct—specifically his “inappropriate touching of a woman in a public town centre”—his identification is a priority for the Thames Valley Police Public Protection Unit. Authorities state that the detail regarding the blue turban and long white beard is a specific identifying feature that they hope will lead to a swift identification by the local community.

The details of the incident are logged on the police national database for intelligence purposes. Authorities state that identifying the driver of the white Transit van is a vital step in securing a formal witness statement for future judicial proceedings. Any sighting of an individual matching the description in Slough or elsewhere should be reported via 101 or anonymously to Crimestoppers at 0800 555 111 to ensure the ongoing safety of the public from a man who demonstrated a “bold and public intent” to commit a sexual offence during peak hours.


QUESTION – Given that the suspect has a highly specific appearance (blue turban and long white beard) and the incident occurred in a high-traffic area, do you believe that “Public Identification” appeals are effective enough for elderly offenders, or should facial recognition technology be deployed more aggressively in town centres?


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